AngusG/tensorflow-xnor-bnn
BinaryNets in TensorFlow with XNOR GEMM op
This project offers a specialized computational operation for developers building neural networks in TensorFlow. It takes in standard matrix multiplication operations within a binary neural network context and outputs faster execution times on compatible GPUs. This is for machine learning engineers and researchers who are working with binary neural networks and need to optimize their model training performance.
154 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher specifically building binary neural networks in TensorFlow and need to accelerate matrix multiplication operations.
Not ideal if you are working with full-precision neural networks, using a different deep learning framework, or matrices that are not square and powers of two.
Stars
154
Forks
38
Language
C++
License
Apache-2.0
Category
Last pushed
Aug 23, 2017
Commits (30d)
0
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