Deep Learning with Python

This repository stores:

1. Learning resources

The second_edition folder stores Jupyter notebooks implementing the code samples found in the book Deep Learning with Python, 2nd Edition (Manning Publications)

2. Exercises

The exercises folder stores homework problems assigned by Dr. Jihun Hamm at Tulane University for the Deep Learning class.

3. Fun projects

Learning isn't concrete until the theory is carried on to solve real problems. I will use kaggle as a reference and practice solving real life questions with Deep Learning techniques and document my studies in fun_project folder.

• classify_cats_dogs.ipynb: A deep neural network model by implementing Convolutional Neural Network (CNN) to classify dog and cat images