1

Introduction to Deep Learning

2

Getting Started with TensorFlow 2.0

3

Convolution Neural Network

4

Regional CNN

5

Boltzmann Machine & Autoencoder

6

Generative Adversarial Network (GAN)

7

Emotion and Gender Detection

8

Introduction RNN and GRU

9

LSTM

10

Auto Image Captioning Using CNN LSTM