Keras

---

title: 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 ↗)