index.md

DeepLearning-Module-1

1. Part 1: Unsupervised-and-Reinforcement-Learning

   • Part 1(a): Unsupervised and Reinforcement-Learning-Principle-Component-Analysis

   • Part 1(b): Unsupervised and Reinforcement-Clustering

   • Part 1(c): Unsupervised and Reinforcement-Reinforcement-Learning

2. Part 2(a): Neural Networks-Biological-Neural-Networks

   • Part 2(b): Introduction to Neural Networks-> Artificial Neural Network structure

   • Part 2(c): Introduction to Neural Networks-> Types-Of-Neural-Networks

   • Part 2(d): Introduction to Neural Networks-> Neural Network Layers

   • Part 2(e): Introduction to Neural Networks-> Choosing Hidden Neurons

   • Par 2(f): Introduction to Neural Networks-> Keras API Layers

   • Part 2(g): Introduction to Neural Networks-> Multi_Layer_Nets

   • Part 2(h): Introduction to Neural Networks-> Shallow Vs Deep

   • Part 2(i): Introduction to Neural Networks-> Advantages Multilayer Nets

   • Part 2(j): Introduction-to-Neuron -> Working-of-Neuron

   • Part 2(k): Introduction-to-Neuron -> Hypothesis-Function

   • Part 2(l): Introduction-to-Neuron -> Activation Function

3. Part 3(a): Introduction to Neuron - Convolutional Layer

4. Part 3(b): Introduction to Neuron - Full-connection

5. Part 3(c): Introduction to Neuron - Max-Pooling-and-Flattening

6. Assignment