We have hosted the application tensorflow js in order to run this application in our online workstations with Wine or directly.
Quick description about tensorflow js:
TensorFlow.js is a library for machine learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Retrain pre-existing ML models using your own data. Build and train models directly in JavaScript using flexible and intuitive APIs. Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript.Features:
- JavaScript Library for training and deploying machine learning models in the browser
- Code ML programs without dealing directly with Tensors
- TensorFlow.js provides flexible building blocks for neural network programming in JavaScript
- Convert Pretrained Models to TensorFlow.js
- Retrain pre-existing ML models using your own data
- Includes TensorFlow.js Vis, an in-browser visualization for TensorFlow.js models
Programming Language: TypeScript.
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