ConvNetCS Library is a c# .net Convolution neural network library along with expermintal deepQlearning implementation, based on Andrej Karpathy Convnetjs. the network can be built from several layers including :
- Full Connected Layer
- Dropout Layer
- Convolution Layer
- Local Response Normalization
- Max Pool Layer
- Maxout Layer (Activation Layer)
- Relu Layer (Activation Layer)
- Sigmoid Layer (Activation Layer)
- Regression Layer (Loss Layer)
- SVM Layer (Loss Layer)
- Softmax Layer (Loss Layer)
Load pretrained models from PlayWithVGG project and start visulaize features.
- run on release mode without debuging to boost the performance.
- all the pretrained models is converted from the original caffe model and the licence of the original author is applied.
MIT