Module 5- Part 2- Deep computer vision, CNN and different convolution operations

Relevant playlists:
Machine Learning Concepts, simply explained: Machine Learning Concepts (Simply Exp...
Deep Learning Concepts, simply explained: Deep Learning Concepts (Simply Explai...

Instructor: Pedram Jahangiry

All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own.
https://github.com/PJalgotrader

Lecture Outline:
0:00 Roadmap and recap. What is a convolutional layer?
5:30 CNN architecture
8:25 Weight parameters in CNN + nonlinearity
12:50 Pooling layer, size, stride and type
18:50 Putting it together! our first CNN model
25:20 ANN and CNN visualization for handwritten digits
33:30 Standard convolutional (volume base)
37:45 Depthwise convolution
40:35 Pointwise convolution
42:45 Depthwise separable convolution
49:40 Transposed convolution