Introduction
  • Welcome & Introduction
  • Intelligent Learning System
  • Neural Network Basics
Types of Neural Network
  • Feed forward networks
  • Radial Basis function
  • Kohonen self organizing maps
  • RNN-Recurrent Neural Networks(Hopfield,Boltzmann network)
  • Modular (Associative)Neural Networks
What is back Propagation?
  • Working of Back Propagation ....
Deep Learning with Neuron Network
  • Deep Learning with Neuron Network 1
  • Deep Learning with Neural network 2
  • Deep Learning Frameworks-Quick comparison
Machine Learning
  • Get started with ML
  • Machine learning
tensor flow
  • What is tensor flow?
  • tensor flow simplified
  • How to create Tensor ?
  • Tensor Creation 1
  • Tensor Creation 2
  • Tensor Creation 3
  • Tensor Creation 4
  • Tensor Creation 5
  • Tensor Creation 6
  • Graph 1
  • Graph 2
  • Few more details ...
HLL
  • Lesson 1
  • Lesson 2
  • Lesson 3
  • Lesson 4
  • Lesson 5
  • Lesson 6-Keras
  • Lesson 7 -Keras Model
  • Lesson 8
  • Lesson 9
  • Lesson 10
  • Lesson 1
Machine Learning with Tensor Flow
  • Lesson 2
  • Lesson 3
  • Lesson 4
  • Lesson 6
  • Lesson 5
  • Lesson 7
  • Lesson 8
MLP &Neural Networks - Tensor Flow &Keras
  • Lesson 1
  • Lesson 2
  • Lesson 3
  • Lesson 4
  • Lesson 5
  • Lesson 6
  • Lesson 7
  • Lesson 8
  • Lesson 9
  • Lesson 10
  • Lesson 11
  • Lesson 12
  • Lesson 13
  • Lesson 15
  • Lesson 16
  • Lesson 17
  • Lesson 18
  • Lesson 20
  • Lesson 21
  • Lesson 22
  • Lesson 23
  • Lesson 24
  • Lesson 25
  • Lesson 26
  • Lesson 27
  • Lesson 28
  • Lesson 29
Autoencoders
  • Autoencoder 1
  • Autoencoders 2
  • Autoencoders3
  • Autoencoders 4
  • Autoencoders 5
  • Autoencoders 6
  • Autoencoders 7
Deep Reinforcement Learning
  • Allocution 1
  • Allocution 2
  • Allocution 3
  • Allocution 4
image Classification using Covolutional neural networks in keras
  • Lesson A
  • Lesson B
word embeddings by Keras
  • Lesson A
  • Lesson B
  • Lesson C