Neural işler

...sınıflandırma üzerine bir dataset seçilecek. 1. Size tahsis edilmiş veri setini, tanımlanmış sınıflandırma problemini çözmek için Training, Validation ve Test olmak üzere üçe ayırın. 2. İlk olarak “common sense baseline” denilen ve tasarladığınız modelin yenmesi gereken ve basit bir mantıkla üretilen minimum başarı oranını belirleyin ve açıklayın. 3. Keras ortamında kendinize ait bir Convolutional Neural Network (CNN) modeli tasarlayın. 4. komutuyla modelinizdeki katmanların çıktısını görüntüleyin. 5. Modeli eğitin ve eğitim sırasında Training Loss ve Validation Loss grafiğini ve Training Accuracy ve Validation Accuracy grafiğini çizdirin. Bu grafikten overfitting durumunun ka&cc...

bazı mimarilerde yazılmış kod bloğuna sahibim. Bunu istediğim 3 mimariye çevirmek istiyorum. Bunlar ResNet,R2U_Net (Recurrent residual convolutional neural network based on u-net) ve CBAM (convolutional block attention module).

...temperature, equipment running time, and so on. Prospective freelancers must have skills and experience in the following areas: - Docker, for providing the backbone of our decentralized system - Federated Learning, to collectively improve our model's performance without sharing raw data - Working with and analyzing operational data - Implementing predictive models, in this case a 3-layer feed-forward neural network and stochastic gradient descent (SGD) The final deliverable will be a robust and efficient predictive maintenance system that effectively uses operational data to improve machine downtime prediction. Your contribution will be essential in minimizing these unexpected halts in industrial activities. Please refer to the linked PPT for more details. I look forward...

...dedicated product or device providing comprehensive analytics on an individual's mental capacity during work. I propose the development of a wearable device that monitors and analyzes cognitive functions, offering insights into flow states, situations of high stimulation, potential burnout risks, and daily mental strain. This innovative device, worn on the head and equipped with EECG/FMRI and other neural/blood flow tracking capabilities, aims to provide real-time data on the user's brain state. The accompanying app, leveraging ML, AI and analytics tools, interprets this data to offer actionable insights. Key features and objectives of the proposed solution include: Flow State Recognition: Identify and analyze periods of optimal focus and productivity to enhance over...

We are looking for a talented and experienced Android/Flutter developer with a strong understanding of AI to join our team for an excit...emerging technologies. If you are a skilled Android/Flutter developer with a passion for AI and are excited about working on innovative projects, we would love to hear from you. Please submit your resume and portfolio showcasing your relevant experience. Features: Cloud-Based AI Services: Reinforcement Learning: Speech Recognition and Synthesis Computer Vision Natural Language Processing (NLP) Neural Networks: Machine Learning (ML) Libraries This is a great opportunity to be part of an innovative project that pushes the boundaries of what AI can do in the realm of user entertainment. Looking forward to discussing this project with qualified fr...

I'm looking for a specialist capable of conducting image classification for facial detection using the YOLOv9 model on Colab. The primary goal is to pin...key tasks include: - Implementing YOLOv9 model on Colab for image classification - Prioritizing faces as the main class for identification and categorization - Enhancing the model to increase its detection degrees of accuracy - Ensuring the solution is scalable and effective The ideal candidate should have robust skills in: - Python programming - Deep Learning (specifically convolutional neural networks) - Proficiency in Google Colab - Prior hands-on experience with YOLOv9 or similar models. Please note that the work does not require detection and classification of specific facial features. It's all about pre...

...an Artificial Neural Network: The primary focus of this project is the implementation of an Artificial Neural Network for precise mask and helmet recognition. Your experience in developing similar systems using ANN will be highly appreciated. - Achieving Accuracy: The desired accuracy level for this system is between 80% and 90%. It's crucial that the model can reliably identify the presence of masks and helmets in real-time. - Compact Deployment: The final system is intended to be deployed within a small device with a Raspberry Pi (watch box dimension). Thus, your experience in deploying ML models on such hardware will be beneficial. Ideal Skills: - Proficiency in Machine Learning: Extensive experience working with machine learning models, especially with Artificial...

'm seeking a professional in machine learning to help with an automated image classification project. Key requirements: - Experience in machine learning, specifically image classification - Strong understanding of Logistic Regression and Neural Networks - Strong understanding of key concepts within Machine Learning IMPORTANT: MUST BE ABLE TO POST REGULAR UPDATES AND PROJECT MUST BE FINISHED WITHIN 2-3 DAYS Your responsibilities if you take on this project would include: - Developing and training a machine learning model on images of objects - Training and testing of new model based on ResNet-18 - Testing and optimizing the model for accuracy - Outputting metrics such as accuracy, F1 score, precision recall curves etc - Visualise model performance through relevant plots (e...

Quick Description: I need a professional who would know how to forward pass through 200 already trained PyTorch neural networks, and obtain their outputs, in <20ms, on a provided Linux server. This task is only for the ML inference step, and not for the training stage. Key Requirements: - Expertise in Python and Machine Learning: You should be well-versed in Python and have a strong understanding of machine learning principles. - Previous Experience in Speed Optimization: Experience in optimizing machine learning inference for high-speed applications is crucial. - Proficiency in PyTorch: Experience working with PyTorch specifically is highly preferred, as this is the library we are currently using. - Expertise in Linux - Knowledgeable about how to parallelize computations. Y...

I'm seeking a professional in machine learning to help with an automated image classification project. Key requirements: - Experience in machine learning, specifically image classification - Strong understanding of Logistic Regression and Neural Networks - Strong understanding of key concepts within Machine Learning Your responsibilities if you take on this project would include: - Developing and training a machine learning model on images of objects - Training and testing of new model based on ResNet-18 - Testing and optimizing the model for accuracy - Outputting metrics such as accuracy, F1 score, precision recall curves etc - Visualise model performance through relevant plots (e.g., confusion matrix, receiver operating characteristic curve, precision recall curves) - E...

I need an experienced professional who can use Convolutional Neural Networks (CNN) to classify a dataset consisting of user-generated videos. Since this project involves working with user-generated content, the ideal candidate should have prior experience or familiarity with similar work. Key Responsibilities: - Improve search accuracy by effectively classifying the video dataset - Enhance recommendation systems - Analyze user behavior based on classification results Applicants should pay special attention to: - Providing proof of experience in using CNN for video classification tasks - Describing previous successes in improving search accuracy and enhancing recommendation systems, especially with user-generated content. With your expertise, we can properly structure our data...

I have an existing Convolutional Neural Network (CNN) model built in Python that processes audio data preprocessed using Mel-frequency cepstral coefficients (MFCCs). The model currently delivers high accuracy results, but there's an issue - It consistently provides the same answer when applied to different inputs. I need an expert to investigate and resolve this issue, ensuring that the model provides accurate and varied predictions for different audio inputs. Key Requirements: - Review and diagnose the current CNN model. - Identify why the model outputs the same result for different inputs. - Implement necessary modifications to rectify the issue. - Ensure the model maintains its high accuracy while providing diverse predictions for different audio inputs. Ideal Skills and E...

...for a skilled machine learning engineer with a background in medical image analysis to help me develop a system capable of identifying different types of brain tumors from MRI images. The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understanding of transf...

I urgently need a professional who is knowledgeable of the communication protocols associated with smart dust and neural dust technology, to assist with the disabling and removal of these devices from my environment. Key Tasks: - Identify smart dust and neural dust devices within my environment. - Develop a safe and effective method for disabling and removing these devices. - Implement the removal procedure swiftly and effectively. Ideal Skills: - Deep understanding of smart dust and neural dust technology. - Experience in dealing with similar projects. - Ability to work swiftly and efficiently. I need this project completed as soon as possible. Your expertise in this area is greatly appreciated. I'm in Billings MT but im also willing to travel as long as the...

Course 1: Statistics, Probability and SQL Course 2: Machine Learning and Predictive models with Python Course 3: Apache Spark: ML on Big Data Course 4: Deep Learning and Neural Networks Course 5: Gen AI : GPT, ChatGPT, Transformers, and SAN Network Course 6: Developing with GPT using chatGPT with OpenAI API Course 7: LLM Intuition and Implementation Course 8: Artificial Neural Networks and CNN Course 9: Model Deployment : AWS, S3, and SageMaker Capstone Projects: Class time = 6 am IST from tuesday to saturday

I am seeking a skilled professional to enhance the squash equation within the CapsuleNet model to improve its accuracy. Key Requirements: - Experience with CapsuleNet model and its squash equation - Proficiency in neural networks and deep learning - Ability to enhance model accuracy through squash equation modifications If you feel confident in your ability to help me achieve better accuracy through the squash equation, I would love to discuss this further.

I'm in need of a skilled developer who has expertise in deep learning, particularly Convolutional Neural Networks (CNN), and experience with popular frameworks like Tensorflow and Keras. The project will revolve around object detection using images as the primary data source. Key Requirements: - Object Detection: The primary goal of this project is to accurately detect objects in images. It is important that the model is able to identify objects of a specific size, so having experience in this area will be crucial. - Deep Learning Expertise: You should be well-versed in deep learning concepts, particularly CNNs. This will be essential in developing an effective object detection model. - Framework Proficiency: Experience working with frameworks like Tensorflow and Keras is a ...

Looking for a skilled Python programmer to develop a spiking neural network geared for image detection in the medical field. The purpose of this undertaking is to diagnose the presence of diseases. To ensure the best outcomes, we aim to detect a diverse range of diseases. However, it's crucial to have low computational resource demands to facilitate broad implementation. The ideal candidate should have: -Expertise in spiking neural networks -Experience in Python coding -Understanding of medical imaging and diagnostics -Prior work in resource-efficient programming Your assignment involves designing, coding, testing, and refining this disease detection tool.

Project Description: Calling all audio engineers and remix enthusiasts! We're excited to announce a remix contest where you'll have the opportunity to showcase your skills by editing and transforming a classic track. Your challenge is to take the song "Pump It Up" *Danzel and creativ...Libraries Documentation: If you used machine learning scripts and libraries to achieve the voice modification, provide the following: Scripts: Submit the actual code or a detailed algorithm of the process used. Libraries: List all audio processing or machine learning libraries utilized in your project (e.g., LibROSA for audio analysis, PyDub for audio manipulation, TensorFlow or PyTorch for any neural network implementations). Explanation: Describe how each part of your script con...

Quick Description: I need a professional who would know how to forward pass through 200 already trained PyTorch neural networks, and obtain their outputs, in <20ms, on a provided Linux server. This task is only for the ML inference step, and not for the training stage. Key Requirements: - Expertise in Python and Machine Learning: You should be well-versed in Python and have a strong understanding of machine learning principles. - Previous Experience in Speed Optimization: Experience in optimizing machine learning inference for high-speed applications is crucial. - Proficiency in PyTorch: Experience working with PyTorch specifically is highly preferred, as this is the library we are currently using. - Expertise in Linux - Knowledgeable about how to parallelize computations. Y...

I'm seeking a capable designer to create an engaging, modern, and innovative logo for my company, Nodusgen AI Solutions Private Limited. The AI should be highlighted of the name and there has to be a neural network pattern or some pattern to signify artificial intelligence somewhere on the logo. Mainly keep "NODUSGEN AI", also keep Solutions Private Limited below it but it should be subtle. Ideal Skills & Experience: - Proven track record in logo design - Strong understanding of color theory - Creativity and problem-solving aptitude - Familiarity with AI and tech companies is a must.

This project is aimed at creating a two-model neural network code, in Python, for classifying a car crash dataset. The dataset I'm working with is from Kaggle's Car Crash CCD. I need a freelancer who can not only create this code but also provide a detailed explanation of the work process and how the models function within the provided code. The freelancer should have: - High level understanding and experience in Python programming - Extensive knowledge and experience with neural networks - Ability to clearly explain complex programming models - Experience with Kaggle datasets is a bonus The scope of the project includes: - Data cleaning and preparation, if needed - Building two neural network models for classification of dataset - Providing a detailed ex...

I'm working on a project that involves evaluating image quality using machine learning on an FPGA. Key Requirements: - The primary goal of this project is to achieve highly accurate results in image quality. - The images I'll be evaluating are mostly photographs. - I'm looking to implement a Convolutional Neural Network (CNN) model for this project. Key Skills/Experience needed: - Proficiency with FPGA development, particularly with VIVADO. - Strong background in image processing and machine learning. - Previous experience with implementing CNN models on FPGA for image quality evaluations would be a great plus. If you're confident in your FPGA skills, have a background in image processing and ML, and have worked with CNN models, I'm eager to hear from yo...

I'm in need of an expert in FPGA and machine learning with a focus on Convolutional Neural Network (CNN) and YOLO algorithms. The primary goal of this project is to evaluate image quality with the maximum possible accuracy. Some key details: - FPGA: Experience with VIVADO is highly preferred. - Machine Learning: A strong background in implementing CNN and YOLO algorithms is essential. - Image Size: The desired input image size is 416x416. The project aims to achieve high accuracy in image quality evaluation through these machine learning algorithms on the FPGA. The freelancer is expected to work closely with me to ensure the project meets the desired outcomes.

This is GENETIC PROGRAMMING NOT a GENETIC ALGORITHM PROJECT I want to do like this one: but genetic programming will be used instead on neural networks. PLEASE ENSURE IT IS GENETIC PROGRAMMING NOT A GENETIC ALGORITHM -the project is all done using Python, and every single line has to be explained "what it does, why it's used" documented and explained -we will develop a genetic programming system that you enter MRI photos for brain tumor -the program will target the tumor, select the tumor with a mark, and calculate its size, define if malignant or benign, and get O(N) The segmentation "and also the fitness function" will be implemented by "Graph Cut Segmentation" and the code will keep improving the equation with every cycle of generation ...

Identification of small water bodies, as well as their identification when it is covered by vegetation. Techniques to be used, either with QGIS, Arcgis, or Arcgis it is not possible, then convolutional neural networks (CNNs), recurrent neural networks (RNNs), and fully convolutional networks (FCN).

I seek a solution-oriented software developer to create a specialized software for my Windows system, which can apply multiple prediction models to an Excel sheet. Key Functions: - Incorporating various prediction models: This includes not only regression, classification, and clustering models, but also decision trees, neural networks, random forests, and support vectors. Ideal Candidate: - Expertise in developing Windows compatible software - Strong understanding of data prediction models - Knowledgeable in Excel functionalities - Ability to integrate sophisticated prediction algorithms The final outcome should be a user-friendly software that enhances my productivity by allowing me to apply versatile prediction models to my data effortlessly.

I'm looking for a skilled Python programmer to assist in building a General Regression Neural Network (GRNN)-GA hybrid specifically for prediction modeling. The model will be 15 inputs variables with 5 outputs variables. The ideal candidate should have experience with: - Python: A strong grasp of Python is essential. - Machine Learning & Neural Networks: Experience with machine learning concepts and neural networks, particularly GRNNs, is a huge plus. - Data Analysis: A background in data analysis is highly desirable, as the project involves translating data into predictive models. - Database Integration: Experience in integrating Python applications with existing databases is crucial as the project will entail integrating the GRNN-GA hybrid model with an exi...

I am looking for an specialist in convolutional neural networks (CNN) to create a three experiments: First experiment Create CNN models that recognize specific objects in bachelor thesis: - Headings – first level heading, subheading and third level heading - Headings text font - Headings text size - Line spacing before and after heading - Other elements in two groups: -- Other elements; -- Footnote references; - Number in front of the heading Each object will be recognised by separated CNN model. Each CNN model will have one class – it will be able to recognise only one object. Second experiment There will be only one CNN model with class for each object from first experiment. Third experiment Create CNN model that can recognize formatting errors in headings. Expe...

I'm looking for a coder with expertise in Python and, ideally, has previous experience with Graph Neural Networks (GNN). The goal is to create a classifier that can distinguish between two classes - 0 and 1 - based on edge weights. Key Task Components: 1. Use of Python programming language for GNN classifier implementation. 2. Incorporate UNSW-NB15 Dataset to structure the graph with nodes and edges. 3. The classifier should focus specifically on the features of edges for classification. 4. Deliverable will be a GNN implementation that will classify edges of the graph using edge features This project requires knowledge of Python, GNN, and familiarity with the UNSW-NB15 Dataset. Your ability to conceptualize, develop and deliver a working GNN classifier, focusing on edge ...

I'm in need of an expert in Python who can implement a neural network for natural language processing. The ideal freelancer should have strong experience in machine learning, specifically for NLP tasks. Training a neural network model for natural language processing. Specifically the goal is to implement with a custom dataset. Key Requirements: -Understanding the model and its functionalities and writing a Jupyter script for training with a custom data set. - Experience in developing neural networks for NLP - Ability to create models for sentiment analysis, named entity recognition, and text classification Please provide details of your relevant experience and how you plan to approach this project in your application.

I'm seeking a seasoned professional to assist me with training a neural network model for natural language processing. Specifically the goal is to implement with a custom dataset. The work includes: - Understanding the model and its functionalities and writing a Jupyter script for training with a custom data set. - Custom data integration: figuring out the format required by running the example training on text8 dataset and then adapting the in-house dataset for the purpose of training. -Finally, write a custom function which given the trained model enables a spellcheck on masked tokens of the text as in Ideal skills for this project include: - Proven experience in using NLP models and diffusion models. - Proficiency

...believe the model can be significantly improved by implementing a different algorithm. In particular, I'd like to enhance the model using "Deforming CNN". Key Points: - Current ML framework: TensorFlow - Requirement for improvement: Implementing a different algorithm - Desired algorithm: Deforming CNN Ideal skills for this project: - Proficiency in TensorFlow - Understanding of Convolutional Neural Networks (CNN) - Experience with implementing and optimizing ML algorithms - Google Colab Your task would be to integrate the Deforming CNN algorithm into the existing model, troubleshoot any issues, and ensure it enhances the model's accuracy. The goal is to significantly improve the model's predictive power. Please provide details of your prior experience ...

I'm seeking a skilled machine learning expert who can train a Convolutional Neural Network (CNN) for object detection, specifically tennis balls. I have my own dataset. This dataset is poor so I will need a skilled expert. I need detections on at least 50% of the frames. Key Responsibilities: - Train the CNN model on object (tennis ball) detection - Fine-tune the model for higher accuracy - Provide the trained CNN Model's code and implementation details

I'm seeking an experienced Python dev...who can leverage PyG to improve the accuracy of existing link prediction models on co-authorship network data. Key Responsibilities and Requirements: - Enhance existing models: You'll be tasked with optimizing and fine-tuning our current link prediction models, in order to improve the accuracy of the predictions. - PyG Proficiency: Proficiency in PyG, a Python-based library for building graph neural networks is a must for this project. - Previous experience: Experience with machine learning, particularly in the field of link prediction, would be ideal. - Dataset knowledge: Familiarity with handling co-authorship network data is a plus. I'm looking for a proactive, detail-oriented individual who can work independently to deli...

I need an expert literature reviewer well-versed in the field of Technology. The project focuses on drafting a comprehensive literature review for Kidney Cancer Detection using Artificial Neural Networks (ANN) and the MobileNet architecture. Key Requirements: - Profound understanding of Artificial Intelligence and mobile technologies. - Prior experience in crafting literature reviews related to the healthcare sector is a plus. - Capable of conducting relevant research from scratch as there is no existing data set. Your task would include, but not limited to: - Studying and expanding the topic of Kidney Cancer Detection via ANN and MobileNet. - Identifying relevant studies, papers, and technology trends for the review. - Weaving together an engaging, informative, and critical lite...

...optimize machine learning models. - Data Analysis: You'll need to collect, interpret, and present data in a meaningful way, to help inform our AI and ML projects. Required Skills and Experience: - Expertise in Python is a must. You should be comfortable with Python libraries and tools commonly used in AI and ML projects. - Proven experience in developing and deploying AI algorithms, including neural networks and other machine learning models. - Strong data analysis skills, including the ability to write complex queries and perform statistical analysis. - A thorough understanding of AI and ML concepts, trends, and best practices. - Ability to work collaboratively and communicate effectively with a team. If you're a Python developer with a deep understanding and experie...

I'm looking for a seasoned graphic designer to help me create an abstract crypto logo inspired by aspects of artificial intelligence. Key elements should represent neural networks and machine learning. More specifically: - The logo design should be abstract and sophisticated, echoing the complexity of AI. - A monochromatic color scheme is preferred to maintain a professional and refined aesthetic. The ideal candidate for this job is someone with: - Extensive experience in abstract graphic design - Deep understanding of AI concepts and how to visually represent them - Skilled in creating monochrome logo designs Combining these elements, the goal is to reflect the cutting-edge technology underlying cryptocurrency and artificial intelligence.

As someone skilled in machine learning and an expert in PyTorch, I'm seeking assistance with my next project. I need a professional to create a Graph Neural Network (GNN) predictive model leveraging my preprocessed data. Ideal Skills and Experience: - Advanced knowledge in Machine Learning, specifically predictive modeling - Proficiency in creating Neural Network models, especially GNN - Extensive experience in PyTorch Tasks: - Constructing a GNN predictive model - Evaluating and refining the model as required based on results The ultimate goal is for this model to provide accurate and useful predictive analytics. Your expertise and input will be invaluable to the project.

I need a neural network that has the ability to write scripts for a movie or/and series, the final feature of the neural network, help in post-production. Also, a separate neural network should write lyrics, music bits with minuses, write voice and all this to edit into finished tracks. All this should be integrated into a Telegrem bot, with an intuitive interface for user convenience. . The main functionalities required are: - API Integration: Develop a robust API that allows the Telegram bot to efficiently interact with the neural network. - Data Science Integration: Prior experience in Data Science is essential, as the bot will need to collect and analyze user data. - Experience with Telegram: As the project involves integrating the neural network wit...

I'm in need of an expert in Convolutional Deep learning and machine learning. I specifically need assistance in the area of MRI-based tumor detection. Key Tasks: - Training deep learning models - Implementing convolutional neural networks - Developing machine learning algorithms The primary goal of the project is to ensure accurate identification of tumors. It's important that you are able to work on this project immediately, as I have a tight deadline and require someone who can deliver quality results under pressure. Ideal candidates should have prior experience in medical imaging, specifically in tumor detection. Please provide relevant samples of your previous work.

I'm looking for a seasoned Deep Learning programmer who can turn my existing CNN-based breast cancer detection code to in...using both TensorFlow and Keras. - Creating detailed comments to provide robust explanation and understanding of the code. Max Budget--> 2500 Min Requirement --> An equivalent implementation using any of VGG16 or VGG19. Link of the Project : The ideal candidate for this job would possess extensive experience in Neural Networks especially in VGG models, Python, TensorFlow, and Keras. Understanding of breast cancer detection methods would also be beneficial. I'm seeking a professional who can provide quality assurance, and ensure the refurbished code remains functional and understandable.

Objective: We are seeking an individual or company skilled in neural networks and Keras to develop a predictive model. This model will forecast the occurrence of a phenomenon based on historical data. Requirements: Data Acquisition: Historical data required for training the model will be fetched via an API from our comprehensive database, which is updated multiple times weekly. Data Processing: All retrieved data will be processed to facilitate effective model training. This includes Exploratory Data Analysis (EDA) to identify impactful data, outlier detection for data quality, and feature engineering to determine the final model inputs. Model Development: Train two types of models using Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) architectures: A classifica...

I am seeking a developer to create an algorithm that can make a single prediction based on data from existing datasets. I have looked at the available choices and decided that numbers will be the best form of data to have inputted into my algorithm. The goal of this algorithm is for it to make a single prediction, rather than statistical clustering or a range of predictions. The inputs available to the algorithm will be data from existing datasets. This algorithm needs to be powerful, accurate, and efficient while making reasonable predictions. The ideal developer will be skilled in utilizing machine learning, deep learning with neutral network and artificial intelligence, and other related technologies to help create the best possible algorithm.

I am seeking a developer to create an algorithm that can make a single prediction based on data from existing datasets. I have looked at the available choices and decided that numbers will be the best form of data to have inputted into my algorithm. The goal of this algorithm is for it to make a single prediction, rather than statistical clustering or a range of predictions. The inputs available to the algorithm will be data from existing datasets. This algorithm needs to be powerful, accurate, and efficient while making reasonable predictions. The ideal developer will be skilled in utilizing machine learning, deep learning with neutral network and artificial intelligence, and other related technologies to help create the best possible algorithm.

...and Node.js - feel comfortable with Python - have basic knowledge of graphic design (UX/UI) - are not afraid to test your developed app directly with hardware (beacons, sirens, etc.) - are solution-oriented (we don't believe in "that's impossible") - don't mind working on your own without constant supervision - keep your word and communicate openly Advantages: - experience with image processing, neural networks, and IoT concepts - knowledge of the Arduino IDE - basic understanding of communication protocols (USB, Ethernet, etc.) - project management skills - experience leading a development project - communicative English - you are ready to start right away You'll get a chance to: - directly influence the final product with your knowledge and skil...

This is a questionnaire and would need other people’s opinions. I have a dataset comprising single-unit recordings that I need analyzed to identify neural firing patterns. Your role in this project would be to: - Analyze the provided dataset, which primarily consists of single-unit recordings - Identify neural firing patterns within the data - Provide detailed insights and reports on the identified neural firing patterns The ideal candidate for this job should have: - A background in neurophysiology - Proficiency in working with single-unit recordings - Experience in identifying neural firing patterns - Strong analytical and reporting skills Please note that previous experience with similar projects is highly desirable. 2k word limit

I'm in need of a deep learning expert with specific experience in Convolutional Neural Networks. The primary goal of this project is to bolster our search engine ranking through effective link building. To achieve this, I need you to develop and implement a CNN model. The model will be trained on textual data from websites, which I have available for this purpose. Your responsibilities will include: - Developing an effective CNN model - Training the model with the available textual data - Implementing the model for link building Ideal candidate should have: - Proven experience in deep learning, specifically with CNN - Previous success in link building through machine learning - Proficiency in Python and relevant deep learning libraries - Ability to work independently and meet...

...learning and graph neural networks to assist in building a link prediction model. Key Project Details: - Outcome: The main goal of this project is to achieve accurate link prediction. Your model should be able to accurately predict the likelihood of a connection between two nodes in a graph. - Data: The project will utilize open source data. Familiarity with handling and preprocessing graph data will be an advantage. - Dataset Size: The dataset is relatively small, with less than 1,000 nodes. Ideal Skills: - Proficient in Python: Strong programming skills in Python, with a focus on deep learning libraries like TensorFlow or PyTorch. - Deep Learning & Graph Neural Networks: Experience in building and training deep learning models, particularly in the context of graph ...

I'm looking for a skilled Deep Learning professional who can assist me in setting up and executing a high-quality local market link building strategy. Key Responsibilities: - Utilize Graph Neural Networks to develop an effective and scalable link building approach. - Conduct outreach and establish relationships with relevant websites in our niche. - Assist in creating and optimizing content to attract high-quality backlinks. Ideal Skills and Experience: - Proven expertise in Graph Neural Networks, and their application in link building. - Previous successful experience in executing local market link building strategies. - Strong communication and relationship-building skills. - Understanding of SEO and content optimization for link building purposes. If you have a ...