Unclaimed project
Are you a maintainer of keras? Claim this project to take control of your public changelog and roadmap.
Changelog
Deep Learning for humans
Last updated 1 day ago
TFSMLayer deserialization now enforces safe_mode by default — from_config() raises ValueError unless safe_mode=False is passed or keras.config.enable_unsafe_deserialization() is calledThis release introduces critical security hardening for model loading and saving, alongside improvements to the JAX backend metadata handling.
TFSMLayer deserialization in safe_mode (#22035)
TFSMLayer could load external TensorFlow SavedModels during deserialization wit...import keras when using NumPy 2.0 or higher. (#21949)Starting with version 3.13.0, Keras now requires Python 3.11 or higher. Please ensure your environment is updated to Python 3.11+ to install the latest version.
You can now export Keras models directly to the LiteRT format (formerly TensorFlow Lite) for on-device inference. This changes comes with improvements to input signature h...
You now have access to an easy-to-use API for distilling large models into small models while minimizing performance drop on a reference dataset -- compatible with all existing Keras models. You can specify a range of different distillation losses, or create your own losses. The API supports multiple concurrent distillation losses at...
Full Changelog: https://github.com/keras-team/keras/compare/v3.11.2...v3.11.3
Full Changelog: https://github.com/keras-team/keras/compare/v3.11.1...v3.11.2
Full Changelog: https://github.com/keras-team/keras/compare/v3.11.0...v3.11.1
fit()/evaluate()/predict().keras.ops.kaiser function.keras.ops.hanning function.keras.ops.cbrt function.keras.ops.deg2rad function.keras.ops.layer_normalization function to leverage backend-specific performance optimizatio...model.save(). It is controlled via the max_shard_size argument. Specifying this argument will split your Keras model weight file into chunks of this size at most. Use load_model() to reload the sharded files.keras.optimizers.MuonAutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A feature-rich command-line audio/video downloader