In this repo, all about Deep Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Neural Network Architectures.

Click to see the complete documentation of this repository:
https://drive.google.com/file/d/1EIQthKK-0DTmKVE5tnm3JYy68PBBcR4h/view?usp=sharing

Click to see my book on Deep Learning:
https://www.amazon.com/Deep-Learning-Objective-Amir-Ali-ebook/dp/B07S9FHD7R/

The Topic that are covered in this repository are:

1. Supervised Deep Learning

   1. Artificial Neural Networks(ANN)
   2. Convolutional Neural Network(CNN)
   3. LSTM & Recurrent Neural Network(RNN)

2. UnSupervised Deep Learning

   1. Self-Organizing Maps(SOMs)
   2. Restricted Boltzmann Machine(RBM)
   3. Auto Encoder(AE)