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

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

Relevant playlists: Machine Learning Concepts, simply explained:    • Machine Learning Concepts (shorter videos)   Deep Learning Concepts, simply explained:    • Deep Learning Codes and Concepts (Simply E...   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