Module 5- Python 2- Convolutional Neural Networks (CNN) + data augmentation using Fashion MNIST

Relevant playlists: Machine Learning Concepts, simply explained: https://www.youtube.com/playlist?list=PL2GWo47BFyUPWL5fBZSn6FFHRr1bSkX_J Deep Learning Concepts, simply explained: https://www.youtube.com/playlist?list=PL2GWo47BFyUO6Fiy2mJCxR8sUrBEfT6BM 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, where to find the materials 1:40 Importing Fashion MNIST in tensorflow and preprocessing the data 7:50 Building the ANN as our benchmark 13:33 Building the basic CNN 19:25 Building the augmented CNN 33:10 Visualizing misclassified images