Keras masking layer. Most of our guides are written as Jupyter notebooks and can be r...
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Keras masking layer. Most of our guides are written as Jupyter notebooks and can be run in one click in Google Colab, a hosted notebook environment that requires no setup and runs in the cloud. They should be shorter than 300 lines of code (comments may be as long as you want). Jul 10, 2023 · Introduction Keras 3 is a deep learning framework works with TensorFlow, JAX, and PyTorch interchangeably. Preprocessing utilities Backend utilities Scikit-Learn API wrappers Keras configuration utilities Keras 3 API documentation Models API Layers API Callbacks API Ops API Optimizers Metrics Losses Data loading Tree API Built-in small datasets Keras Applications Mixed precision Multi-device distribution RNG API Quantizers Scope Rematerialization Keras follows the principle of progressive disclosure of complexity: it makes it easy to get started, yet it makes it possible to handle arbitrarily advanced use cases, only requiring incremental learning at each step. These models can be used for prediction, feature extraction, and fine-tuning. Keras 3 API documentation Keras 2 API documentation Models API Layers API Callbacks API Optimizers Metrics Losses Data loading Built-in small datasets Keras Applications Mixed precision Utilities Keras is a deep learning API designed for human beings, not machines. Preprocessing utilities Backend utilities Scikit-Learn API wrappers Keras configuration utilities Keras 3 API documentation Models API Layers API Callbacks API Ops API Optimizers Metrics Losses Data loading Tree API Built-in small datasets Keras Applications Mixed precision Multi-device distribution RNG API Quantizers Scope Rematerialization They should be shorter than 300 lines of code (comments may be as long as you want). Are you looking for tutorials showing Keras in action across a wide range of use cases? See the Keras code examples: over 150 well-explained notebooks demonstrating Keras best practices in computer vision, natural language processing, and generative AI. Keras Applications are deep learning models that are made available alongside pre-trained weights. They should be extensively documented & commented.
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