Here is the list of top 6 paid skills in Information Technology that you should know about.
TensorFlow is an open-source, python-friendly library used for high-performance numerical computation that makes machine learning easier and faster. It replaced “DistBelief,” its closed-source predecessor.
TensorFlow has a flexible architecture which enables an easy deployment of numerical computation across several platforms – TPUs, GPUs, CPUs; from desktops to collections of servers to edge and mobile devices.
It was initially created by engineers and researchers from the Google Brain team for both research and production. It comes with a strong support for deep learning and machine learning for dataflow programming across varieties of tasks.
When it comes to the application of TensorFlow, it is being used by social media companies for photo tagging; image analysis for microscopy; retail stores use it for object detection during checkout; space exploration, automotive, aviation, and healthcare also use it for image and object recognition.Tensorflow Developers İşe Alın
I want to build a prototype of a Reverse Vending Machine (RVM) that is an automatic collector of cans and PET bottles, so I found a project on github and I would like to run it. The machine works on Youtube and the Python codes on Github, it uses Tensor Flow. I need someone to analyze the video and code and give me the necessary wiring diagram of the components in Raspberry and help me with the Python code is apparently outdated. Basically it uses the Raspeberry Pi4, 3 DC motors + L298N drive board, a camera, 5kg Load Cell + HX711 and a 7" touch screen.
A startup that develops and sells image analysis web applications ,develop of microscope hardware, in the medical, life sciences, and industrial fields. The technologies I want are react, vue.js, fast API, python, java, docker, azure, image processing, Qt, c++, u-net, caffee, tensorflow, image analysis and deep learning, and so on. We want developers who are collaborative, communicative, and responsive. The working time zone depends on JST. We are looking for friends who can sympathize with our philosophy. Also, there are many applicants who do not respond faithfully to this question, so please be aware that we will not hire such applicants.
We have a requirement for a mobile application to perform Object detection on Network streams. The streams are provided from IP network cameras placed in the facility. The streams will be accessible via http URLs or RTSP URLs.
The app will input a question in a form of image (which can include words as well as equations) and use an OCR model to convert it to text (and Latex coded text) for data writing and reading to backend. Other AI models include: match-makingn and personalised recommendation.
Create a virtual shoe try on similar to Or Create a Webapp that can use the phone camera to recognize and track the foot to have virtual shoes try-on in AR / XR view 1) Recognize the feet with mobile camera 2) Tracking of human feet (with or without socks, slip-on, shoes) 3) Should track and provide a Shoe over lay with a 95% of accuracy while the foot is moving 4) tech Stack (Web browser, Unity3d, IOS/Android) 5) Photorealistic AR views (handle PBR textures and file formats like .glb / .usdz or obj file okey) 6) All code will be nicely written and delivered.
I have a proposed architecture built for a brain tumor classification ( the architecture is a custom cnn with parallel layers like the inception architecture and it also includes a channel attention layer and a transfer layer) and I want to modify this architecture to do a brain tumor segmentation instead of classification using Brats dataset2020 I need to do the code for it with python using Kears and tensorflow please keep in mind I use Windows not Ubuntu so make the code working in Windows (Data training and testing should be done using 5 fold cross validation) (3D image should be used) The architecture and more details will provide in chat
please see the attached file to have better description in this project, you will need to train a simple Logistic Regression model. You can use any machine learning library that supports distributed training, such as Tensorflow and PyTorch. You will start with writing the code for training the model on a single machine. Training should start from a random linear vector as your model. Then, calculate the loss of your model on the dataset using: , where and are training data features and label, respectively. The dataset for you to train your model is MNIST handwritten digits database. Train to minimize with an optimizer such as gradient descent. The next task is to modify the workloads so that they can be launched in a distributed way. You will experiment with both synchronous and ...
I built LSTM model to classify tweets and I used the Randomsearch hyperparameter optimization, I need some whit good knowledge of the Field to optimize my LSTM model using Whale Optimisation Algorithm (WOA).
I am interested in the concept of automated trading based on Machine Learning convept. I would like someone to help to build an automated trading bot using reimbursement learning and able to integrate with Interactive Brokers platform