Open HanbumKo opened 5 years ago
I think the current convolution layer supports 3 color channels, so not much work needs to be done in terms of updating the library. There was a bug fix that should have lowered the training time by a lot, so classifying larger datasets of 2D color images (maybe a partial CIFAR-10) is feasible. Another way to avoid training and quickly get the weights would be to add code to read pretrained weights from other libraries. That may be much faster than training on a CPU.
Also, another dataset to consider is the sign language dataset, which is similar to MNIST.
I think so. Someone who knows other library's format of weight saved file can implement the concept.
Now, tutorial codes using MNIST. We need to add actual classification examples