THIS PROGRAM IS STILL IN PROCESS
- BACKPROPAGATION ON CONVOLUTIONAL LAYERS
- CLEAN THE CODE
- IMPROVE PERFORMANCE
- IMPLEMENT DROPOUT LAYERS
I want to know how CNN works before use Tensorflow or another kind of library, so there is not a lot documentation of Machine learning for C#.
Just Download it and open as project
- On my Youtube channel (spanish) are a lot of information about Machine learning and Neural networks
- https://www.youtube.com/channel/UCS_iMeH0P0nsIDPvBaJckOw
- You can also look at the generalized Example of This
- https://github.com/HectorPulido/Vectorized-multilayer-neural-network
- Or The monolayer Example (Simpler)
- https://github.com/HectorPulido/Simple-vectorized-mono-layer-perceptron
- Or Look at a Non Vectorized multilayer perceptronExample
- https://github.com/HectorPulido/Multi-layer-perceptron
Please consider Support on Patreon