qkeras
A quantization extension for Keras that provides drop-in replacement layers for creating quantized deep learning models in TensorFlow.
What is qkeras?
QKeras is a quantization extension for Keras that provides drop-in replacement layers for creating quantized deep learning models in TensorFlow. It solves the problem of deploying efficient neural networks on resource-constrained hardware by enabling easy conversion of standard Keras models into quantized versions with configurable bit-widths and stochastic activations.
Deep learning researchers and engineers working on model optimization for edge devices, hardware accelerators, or low-latency inference applications, particularly those using TensorFlow and Keras.
Developers choose QKeras for its seamless integration with Keras, extensive set of quantized layers and activations, and tools like QTools for hardware-oriented analysis, making it a comprehensive solution for quantization without sacrificing ease of use.
Overview
QKeras: a quantization deep learning library for Tensorflow Keras
Use Cases
Best For
- Converting Keras models to quantized versions for edge deployment
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