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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
- cmake
- CUDA
- Google Test (for testing only)
build
mkdir build
cd build
cmake -S ..
make
build and run tests
make test_main
./test/test_main
Languages
Cuda
44.5%
C++
43.2%
Python
11.1%
CMake
1.2%