Browser based Deep Neural Network training and inference powered by weblas.
Inference is currently implemented for the following layer types:
- Dense (fully connected/inner product)
- Convolution
- Pooling (max)
- ReLU
Support for more layers is in the works, including:
- Pooling (avg)
- Normalization (local and batch)
Support for training (via backpropagation) is on the drawing board.
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