Convolution Layer

1. The idea of convolution layer

# of parameter dimensions:

# dimension reduction by 1 convolution operation:

2. The idea of ConvNet

some notes:

1. the shape of the layers go smaller and smaller.

2. the number of channels go larger and larger.

3. the final results of ConvNet will be flatten and then feed into a NN layer. 

3. The idea of Pooling Layer (Max Pooling)

4. Putting it together