Keras

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• TensorFlow
• Keras: The Python Deep Learning library
• Keras.js
• Auto Keras
• Keras_Cheat_Sheet_Python - Data Camp pdf
• TensorFlow.js for training and deploying ML models in the browser and on Node.js (was called Deeplearnjs)
• How to build your own AlphaZero AI using Python and Keras
• NLP Keras model in browser with TensorFlow.js
• Transfer Learning With Keras
• Git - GitHub and GitLab

Note: Keras capability is now also part of Tensorflow

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

YouTube Keras Series

• Keras Prerequisites
• Deep Learning: Keras | Data Science Courses
• Deep Learning with Keras and Python

Use Keras if you need a deep learning library that:

• Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
• Supports both convolutional networks and recurrent networks, as well as combinations of the two.
• Runs seamlessly on CPU and GPU.

Neural Networks Hyperparameter Search, the Visualized Way

Neural Networks Hyperparameter Search, the Visualized Way | Vladimir Ilievski - Towards Data Science

Track and visualize Machine Learning experiments using HiPlot Parallel Coordinates Plot in Python