These notebooks contains all you need to know about the deep learning.

It contains the notebooks which I made during my learning process. It may contain more than 100 deep learning models by the end of completion of my basic learning. I tried to cover every minor detail and wrote all the code by myself. Sections currently covered in this repository are:

1. Introduction to deep learning

2. Neural Networks Regression

3. Neural Networks Classification

4. Convolutional Neural Networks and Computer Vision

5. Transfer Learning

• Features extraction
• Fine Tuning
• Scaling up

6. NLP Introduction