Hello can anyone help me? I am starting PyTorch and i dont know to explain this code:
the batch-size is 32
self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=1)
self.relu1 = nn.ReLU()
self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=1)
How many neurons has the input layer, hidden layer and the output layer? And what is the size of the hidden layer?
Everyone answer is welcome
Can anyone help me pls?
Perhaps you may get a much better answer (and understanding) by looking at some videos on CNN basics (one here: Convolution Ne).
The model you’ve mentioned here seems incomplete for any deep learning task. Note that your input and output layer is largely defined by what you want to achieve. It may be more efficient if you have a go at tutorials and beginner resources on CNNs available online first! (there are plenty out there)