Convolutional Neural Networks #

• Convolution, Padding and stride, Channels, Pooling

• Design of CNN

• AlexNet, VGGNet, Inception Net, ResNet

• Transfer Learning

• Image Data

• Invariance, Locality and Channels

• Convolutions operation

• Learning a Kernel

• Feature map and receptive field

• Padding and Stride

• 1x1 convolution

• Pooling

• Multiple channels

• Putting it all together in LeNet

• Code implementation (webinar)

Reference #

• Dive into deep learning. Cambridge University Press.. (Ch7
• R3 - 2.2.11

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