Shypd.aiThe largest open index of AI toolsLarq is an open-source deep learning library for training binarized neural networks. It provides an easy-to-use, composable way to train BNNs and other Quantized Neural Networks based on the tf.keras interface.
Trending
About
Larq is an open-source deep learning library specifically designed for training neural networks with extremely low precision weights and activations, such as Binarized Neural Networks (BNNs). Traditional deep neural networks often use higher precision (32, 16, or 8 bits), making them large, slow, and power-hungry, which limits their application in resource-constrained environments. Larq addresses this by providing a framework to build and train BNNs (1 bit) and other Quantized Neural Networks (QNNs) using the familiar tf.keras interface. It introduces concepts like quantized layers and quantizers, allowing users to define how inputs and kernels are quantized. Larq is part of a broader ecosystem, including Larq Zoo for pretrained models and Larq Compute Engine for efficient deployment on mobile and edge devices.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
