Module 5- Python 3- Transfer learning with TensorFlow (VGG16) using real world images

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 2:47 Importing and preprocessing the data (dog vs cat data from Kaggle) 21:55 Building the benchmark (simple CNN) 30:46 Data augmentation 42:17 Transfer learning 1:05:02 Visualizing the misclassified images by the VGG16 fine tuned model