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CUDANet

⚠️ Work in progress

Convolutional Neural Network inference library running on CUDA.

Features

  • Input layer
  • Dense (fully-connected) layer
  • Conv2d layer
  • Max pooling
  • Average pooling
  • Concat layer
  • Sigmoid activation
  • ReLU activation
  • Softmax activation
  • Load weights from file

Usage

requirements

build and test

mkdir build
cd build
cmake -S ..
make

Run tests

./test/test_main
Description
Convolutional Neural Network inference library running on CUDA
Readme MIT 6.8 MiB
Languages
Cuda 44.5%
C++ 43.2%
Python 11.1%
CMake 1.2%