Data augmentation cnn işler

...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 kaç epochta başladığını tespit edin. 6. Validation verisini de Training verisine katarak overfitting tespitiyle belirlediğiniz optimum epoch sayısında modelinizi eğitin. 7. Modelinizin test verisi üzerindeki performansını görünüz. 8. Modelinize dropout ve veriniz azsa augmentation ekleyerek yukarıda açıklanan grafik...

Flask ortamında CNN tabanlı derin öğrenme modellerini interaktif biçimde anlatan wiki sayfası / admin paneli 4 girişli tek çıkışlı tahmin yapan çok katmanlı algılayıcı

Akciğer kanser teşhisi yapan 3D CNN yapay zekayı colabda başarılı bir şekilde oluşturmak.

3000 tweet,17 K tweet, Reuters data setlerinde sırasıyla SVM, CNN, FastText algoritmaları kullanılarak çözümü yapı ben sizinle paylaşıcam

...accuracy, efficiency, and versatility in detecting deepfakes across diverse scenarios and contexts. Additionally, the project seeks to implement mechanisms for real-time detection, ensuring timely intervention to mitigate the dissemination of deceptive media. Moreover, the project invites collaborative discussion to explore avenues for further refinement and augmentation. Potential enhancements may involve integrating additional data sources, refining algorithmic architectures, or incorporating novel features to bolster detection capabilities. By fostering an open dialogue, the project endeavors to harness collective expertise and insights to fortify the efficacy of deepfake detection mechanisms. It is essential to underscore that this endeavor is exclusively intended fo...

I'm in need of a professional who can create a 3D Convolutional Neural Network (CNN) model diagram for a brain tumor classification project. I will share file. This will be based on my approach using 3D CNN and Transfer Learning for Brain Tumor Classification.

I need a visual representation of the system architecture for my .ipynb file. This will be based on my approach using 3D CNN and Transfer Learning for Brain Tumor Classification. The main purpose of this diagram is to provide an overview of the system architecture, similar to how it is in research papers. It should be clear, detailed and well-annotated to help me understand the flow of data and the various components involved in the process. Key Requirements: - The diagram should be in PNG format. - Include detailed annotations to help me understand the components, their interactions and the flow of data in the system. - Proven experience in creating architecture diagrams, especially in the context of machine learning or deep learning projects, would be highly benef...

...the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. Familiarity with data augmentation libraries such as SpecAugment or Audiomentations. 7. Ability to work with datasets and experience with data preprocessing libraries like Librosa or SciPy. 8. Experience with model optimization techniques for deployment, such as quantization and pruning....

...the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. Familiarity with data augmentation libraries such as SpecAugment or Audiomentations. 7. Ability to work with datasets and experience with data preprocessing libraries like Librosa or SciPy. 8. Experience with model optimization techniques for deployment, such as quantization and pruning....

...developer who can aid in creating, training, and testing a Convolutional Neural Network (CNN). Specific context about the desired classification problem and the type of images for training/testing are yet to be determined and will be shared as the project goes on. The deliverable of your task will be a working Python code able to solve a given image classification problem, producing corresponding output, which will be discussed further after kickoff. For this task, proficiency in Python and familiarity with machine learning and deep learning frameworks are critical, specifically in areas related to: - Python, with emphasis on libraries for data analysis and manipulation (such as Pandas, Numpy), data visualization (like Matplotlib, Seaborn), and machine learning (i...

I have an Excel dataset that I'm looking to augment primarily to increase its dataset size using Python . This is in the context of machine learning modeling, so the main objective is to ensure I have enough varied data to train my models effectively. Key Responsibilities: - Implementing data augmentation techniques for numerical data in Excel format - Expanding the dataset significantly while keeping the integrity of the original data ( Read the word file attached)

...professional, informative A4 poster to help teachers in a K-12 independent school in Australia locate and wear the hearing augmentation device provided in a classroom setting. The goal of this poster is to persuade that it is expected they use hearing augmentation to assist with hearing for understanding. Key Requirements: - Size: The poster must be A4 landscape. - School logo to be included - Style: It should be designed with a professional and informative look, focusing on readability and clarity. - Tailoring: The content should be suitable for teachers of students in 7th to 12th grade. The poster should include: - Clear and concise instructions on where the hearing augmentation devices are located in the classroom. - Please include, "All teachers at xxx ar...

...the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. Familiarity with data augmentation libraries such as SpecAugment or Audiomentations. 7. Ability to work with datasets and experience with data preprocessing libraries like Librosa or SciPy. 8. Experience with model optimization techniques for deployment, such as quantization and pruning....

if anyone is ready to provide me a work for this title : Panoramic Image Stitching Using CNN by Matlab or Python, pls contact me, we can discuss more.

...for a proficient Python developer who can help troubleshoot and improve my machine learning model. My model, which utilizes CNN and BiLSTM, yields inconsistent results across different datasets and experiences issues with overfitting. Here are some more details about the project: - I have around 1,500 samples to use. - The data in unbalanced dataset. - The project could involve revising the model structure, tweaking parameters, or introducing regularization or dropout methods. The freelancers applying should possess the following skills: - Extensive Python knowledge - Experience working with machine learning, deep learning algorithms, and data science particularly CNN and BiLSTM - Understanding of overfitting and the methods to prevent it Just a heads up...

I have a back end code for a project of phishing website detection…it is a CNN vs LSTM comparative study …but I want a person who can develop a UI for that project as well as who can explain that code to us

I require a deep learning professional to write a well-researched paper on traffic prediction in seaports. The specific domains need not be confined; I am open to any, including CNN-LSTM, GRU, and RNN, with perhaps an emphasis on utilization to improve efficiency. The final paper should be suitable for publication in a SCOPUS or ABDC journal. I need this task completed within a month. Ideal Skills & Experience: • Expertise in various Deep Learning domains • Proven record in research paper writing • Experience with traffic management or port logistics would be a bonus • Ability to deliver the project within a strict timeframe • Knowledge of SCOPUS and ABDC journal requirements for research articles

...experienced Python - TensorFlow/PyTorch developer to build a Deep Learning model for brain tumor classification. You should be adept with the following tools and libraries: 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 transfer learning ...

I am looking for a proficient Python d...extensively experienced in Deep Learning, particularly CNN (Convolutional Neural Network), for a critical cyber security project. Your task will be to develop a system capable of efficiently identifying network intrusions. Specifically: - The system will focus on the detection of anomalies within the realm of cyber security. - User behavior data will serve as the primary source of analysis in the effort to pinpoint these intrusions. - The detection algorithm must be highly accurate, maintaining an efficiency level above 95%. Ideal candidates must have: - Proven experience with Python and CNN Deep Learning algorithms. - Previous work on cyber security systems or similar projects is a major plus. - Firm understanding of user...

I need a meticulous researcher to compile data from LinkedIn and Google, resulting in a thorough Google Doc. This task involves gathering the following specifics: Contact details, Company information, and Job titles. It also includes the LinkedIn Profile URLs of the relevant associates. The final document should contain around 100 to 500 entries. Ideal candidates possess conversance with LinkedIn's platform, effective Google search strategies, and proficiency in Google Docs. Excellent organization skills are also expected. Your meticulousness will help in ensuring that accurate, updated data are reported. Let your attention to detail shine through and exceed expectations in this task. I will give you a URL that contains approximately 50 records that have Organization...

...optimize my existing CNN model that currently has an accuracy rate of over 80%. Despite the high performance, I believe there's room for improvement. Required Skills & Experience: * Extensive experience with Convolutional Neural Networks (CNNs) * Proficiency with text data processing * Track record of improving the accuracy of machine learning models Job Scope: * Review the current model and identify potential areas for improvement * Implement strategies to increase training speed and minimize overfitting * Improve the model's overall accuracy * Maintain detailed documentation on the steps taken and their impacts Despite the model's high initial accuracy, I'm ambitious about reaching even higher stats. If you're a guru at improving CNN...

I'm seeking a skilled developer who can seamlessly integrate Radius Manager with Sage One, with two primary augmentation features: 1. Account Status Notifications: The system must automatically update clients about their account status. The notification methods should include Email, SMS, and WhatsApp messages. 2. Client Suspension/Activation: Depending on the payment status, the system should have the ability to either suspend or activate the client's accounts. 3. DMA Radius handles 4 companies the integration needs to get the needed information from Sageone per company and suspend or activate the client. Proficiency in application integration, knowledge of Radius Manager & Sage One, experience with diverse notification channels, and a good understanding is requi...

...commerciaux auprès des boutiques jusqu'à la conclusion des ventes. La prospection est relativement simple et le retour sur investissement/temps est très attractif. * Assurer un suivi rigoureux du portefeuille client et des performances, en utilisant des indicateurs clés de performance. Nous offrons : * Une échelle de commission compétitive à partir de 10% sur le chiffre d'affaires généré. Une augmentation de commission par paliers/objectifs atteints. Rémunération entre 2000 et 4000 EUR par mois. * L'opportunité de collaborer avec une marque en pleine expansion et reconnue pour son élégance intemporelle * Une flexibilité géographique pour travaille...

I need the FADNet CNN to be trained, optimized (purged), quantized and compiled to be used on the Xilinx DPU. You should know about NN, PyTorch, Python and the Vitis AI tools Tasks to do: - Train the NN - Optimize (prune) - Quantize - Compile

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 o...

...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 Experience: - Proficienc...

...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 transfer learning te...

TASK 1 Create an object detection model using R-CNN, Yolo, or SSD. Since there's no small dataset such as MNIST and Fashion-MNIST in object detection, you can use the dataset from the d2l/notebooks/mxnet/chapter_computer-vision/ notebook. The dataset has 1000 banana images with different rotations and sizes placed randomly on some background images. 1.A Obtain the dataset. Working on a small dataset such as the one from the would allow you to train and test different models without taking hours/days to finish. Go to the notebook and obtain the dataset. 1.B Build an object detector. • using YOLO, and SSD. (need two separate notebooks) • Using the dataset, train, or fine-tune (a pre-trained model) to create an object detector

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

...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 must. You should be able to leverage these tools to implement the object detection model effectively...

Nous cherchons un professionnel de la prospection pour augmenter nos ventes en contactant de nouveaux clients potentiels par téléphone. Responsabilités : -générer des leads. -effectuer des appels à froid. -présenter nos produits et conclure des ventes. Compétences requises : -excellente communication. -expérience en vente. -et capacité à rester motivé malgré le rejet. Important : commission de 50 à 90 euros par client signé. Postulez uniquement si vous acceptez cette méthode de paiement. Merci.

I'm seeking a Python and deep learning expert to help me successfully implement various optical flow CNNs on my Mac m3 computer. I would specifically like assistance with the PWC-Net, SpyNet, and FlowNetLight models, in installation and setup. Key Requirements: - Proficient in Python and deep learning frameworks - Experience with optical flow CNNs - Ability to work on a Mac m3 computer The ideal candidate will be able to explain the processes in a clear and concise manner, as I am a beginner with Python and deep learning frameworks. Your help in this project will be greatly appreciated.

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 i...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 ...

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.

Project Quote in AUD please check

I am seeking a proficient photo editor to enhance my personal photos specifically for high-contrast augmentation. The photo of the original work is by me- I need someone to create a digital copy of the art so that I can print several different size copies. The digital copy can be a different color paint splashed or creativity of color - Expertise in high-contrast photo enhancement - Ideally experienced with editing photos of people - A keen eye for balance, detail, and color variance - Mastery over photo editing tools and software - Ability to complete work in a timely manner. This project requires a balance of technical skill and artistic touch. Demonstrated experience in similar projects will be heavily considered.

Full Stack Architect Company Description We are an IT services and Consulting company with collective work experience of 50+ years amongst our founders. We offer below services: IT Consulting and Services Technical/Business, Desktop Operations and Support(24 * 7) Testing Services Domain Consulting Staffing augmentation-Short term and Long term Production Support using Service Now, BMC Remedy and other leading tools(24 *7) DepartmentInformation Technology Grade:N/A Experience: 10 to 12 years Job Type: Full Time number of Positions: 1 Location : Pune Job Description About job:- Lead Engineer to oversee and guide the delivery of Safe AGILE programs. We are seeking a candidate with extensive and up-to-date hands-on experience in full-stack technical development encompassing...

...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. ...

The key goal for my project is the augmentation of my website traffic. I am urgently in search of expert freelancers who can efficiently generate backlinks for my website. - Selected Websites: The backlink generation should span across a variety of platforms including industry-specific blogs, educational or institutional websites and online magazines or news sites. - Experience and Skills: You should be SEO proficient with solid experience in backlink building to drive high volumes of traffic. Speed and understanding of relevant industries is crucial as the project demands an ASAP completion. Your ability to navigate different website types for optimal link placement will be highly beneficial. Strong English language skills need to be demonstrated for this task. Let's qui...

...currently using TensorFlow for my machine learning model. I 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 th...

...searching for a Python developer knowledgeable in numerical data analysis. The key task of this project will be developing a Python script for classifying images. This script will then need to perform advanced data visualization tasks on numeric data. Task would be to analyze a dataset containing different types of fish breeds Images and is required to classify them using CNN based on their location and chemical compositions in various parts of an ocean/location Ideal Skills: - Excellent grasp of Python programming - Strong understanding of image classification techniques - Proficiency in numerical data analysis - Expertise in data visualization methodologies Previous experience with projects involving Python, image classification and ...

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 looking for a seasoned Deep Learning programmer who can turn my existing CNN-based breast cancer detection code to include the VGG16 model. This will involve: - Complete refactoring of the code. - Implementation in Python 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

So we are looking for an app developer who can do a project on infant child m...things data’s will be feeded from sensors controlled by esp32 module) Using yoso algorithm for speech detection, voices of mother, father and the caretaker voices are pre recorded. (So this project is basically abt babies in incubator…so in a room many babies will be there) so any other voices come other than those 3 it should show a stranger algorithm. Optional: Camera will be fixed and using cnn baby faces will be recorded… then in app it should status of baby.. if its crying , sleeping or laughing eg : notification in app will be baby is smiling. Therefore, past experience with this functionality, though appreciated, is not necessary for this project. The budget allocated for...

I need a Python-based mac...program should be trained on historical stock price data. - Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days. - Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation. - Interactive: It should have interactive charts and graphs to better visualize the data. I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings. Ideal Skills: - Strong understanding of machine learning algorithms and Python programming. - Experience in working with financial data and stock market prediction is a plus...

I'm seeking a skilled developer who can seamlessly integrate Radius Manager with Sage One, with two primary augmentation features: 1. Account Status Notifications: The system must automatically update clients about their account status. The notification methods should include Email, SMS, and WhatsApp messages. 2. Client Suspension/Activation: Depending on the payment status, the system should have the ability to either suspend or activate the client's accounts. Proficiency in application integration, knowledge of Radius Manager & Sage One, experience with diverse notification channels, and a good understanding is required for this project.

...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 deadlines ...

use one of the following to get high accuracy: - Convolutional Neural Network (CNN) - Radial Basis Function Network (RBF) - Extreme Learning Machine (ELM) - Support Vector Machine (SVM) - Transformer using SUN397 dataset

...- Ensure the camera feed is accessible at all times through the app. Optional Features: - *Baby Facial Expression Indicator:* - Utilize CNN (Convolutional Neural Network) for detecting baby facial expressions. - Indicate if the baby is crying, smiling, or sleeping through the app interface. - User Interface: - Design an intuitive and user-friendly interface for easy navigation and interaction. - Ensure compatibility with various screen sizes and resolutions for both mobile and tablet devices. - Reliability and Performance: - Ensure the app operates smoothly without glitches or downtime. - Optimize performance to handle real-time sensor data updates and video streaming effectively. - Scalability: - Design the app architecture to accommodate future scalabil...

I'm currently seeking an expert in deep learning and TensorFlow, specifically skilled in the construction and fine-tuning of Convolutional Neural Network (CNN) models. I need help with offline image classification and object detection tasks. Key requirements: - Proficiency in Deep Learning and TensorFlow. - Expertise in Convolutional Neural Networks (CNN) - Experience with image classification and object detection tasks. - Capability to work on an offline model. Candidates with prior experience in similar tasks will be given preference. Accuracy and efficiency of the created model are paramount. The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture ...