Keras ​

Notes ​

• What if my loss doesn't match the signature loss?
• Could use JAX to write Keras layers? It's as simple as a call to jax2tf.convert(). XLA is the shared language that makes this works.

Links ​

• Keras Attention Mechanism - Attention mechanism Implementation for Keras.
• Keras Tuner - Hyperparameter tuning for humans.
• Build a scalable, online recommender with Keras, Docker, GCP, and GKE (2020)
• Everything you need to know to use Keras & TF 2.0 to build real-world machine learning solutions
• Keras debugging tips (Twitter)
• Keras Examples
• Working with preprocessing layers
• Keras for Beginners: Implementing a Recurrent Neural Network (2020)
• ActivationFunctions using Custom Layers in Keras
• Training Keras models with TensorFlow Cloud
• Keras Idiomatic Programmer
• Scikit-Learn Wrapper for Keras
• aXeleRate - Keras-based framework for AI on the Edge.
• Insightface Keras implementation
• Conditional RNN (Tensorflow Keras)
• MobileViT: A mobile-friendly Transformer-based model for image classification (Tweet)
• Keras Visualization Toolkit
• Keras in Rust
• Keras implement of flow-based models
• Keras/TensorFlow attention models
• Keras Hypetune - Friendly python package for Keras Hyperparameters Tuning based only on NumPy and Hyperopt.
• KerasNLP - Industry-strength Natural Language Processing workflows with Keras.
• Keras API Docs (Code)
• frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
• Rust Keras Like - Pure Rust implementation for deep learning library like Keras.
• R Interface to Keras
• Keras Core - Multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
• Introduction to Keras Core with Francois Chollet (2023)