Shypd.aiThe largest open index of AI toolsQKeras is a quantization deep learning library for TensorFlow Keras, providing drop-in replacements for Keras layers. It enables the creation of deep quantized versions of Keras networks quickly and efficiently.
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QKeras is an open-source quantization extension for TensorFlow Keras, designed to simplify the creation of deep quantized neural networks. It offers drop-in replacements for standard Keras layers, particularly those involved in parameter creation and arithmetic operations, allowing users to easily convert existing models to quantized versions. The library emphasizes user-friendliness, modularity, and extensibility, aligning with Keras's design principles while being minimally intrusive. Key features include quantized versions of common layers like QDense, QConv2D, and QActivation, along with various activation functions such as `quantized_relu` and `quantized_tanh`. QKeras also includes QTools for data type map generation and energy consumption estimation, and AutoQKeras for automated quantization and rebalancing through hyperparameter search.
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