Introduction to Deep Learning
  • About Course
  • What is Deep Learning?
  • What is Machine Learning?
  • How Artificial Neural Network Works
  • Artificial Neural Network - Hidden Layer
  • Basics of Deep Learning
Optional: Setup Environment (Deep Learning)
  • Installing Anaconda
  • How to Use Spyder Notebook
  • How to use Jupiter Notebook
  • Installing Library
  • Creating Env for Deep Learning 1
  • Creating Env for Deep Learning 2
  • Creating Env for Deep Learning : Document
Forward and Backward Propagation
  • Activation Function
  • Different Activation Functions
  • What is forward and backward propagation
  • Quiz
  • Artificial Neural Network - Python 1
  • Artificial Neural Network - Python 2
  • Artificial Neural Network - Python 3
Create a Simplest Neural Network from scratch
  • Single Layer Perceptron
  • Perceptron: Implement OR gate
  • Develop Algorithm to Implement Gates
  • Implement Or Gate: Python 1
  • Implement Or gate: Python 2
  • Implement Or Gate: Python 3
Convolutional Neural Network
  • What is Convolutional Neural Network (CNN) ?
  • Step 1: Convolution
  • Step 2: Maxpooling
  • Step 3: Flattening
  • Step 4: Full Connection
  • Image Augmentation
  • CNN - Python 1
  • CNN - Python 2
  • CNN - Python 3
  • CNN - Python 4
  • CNN - Python 5
  • CNN - Python 6
  • CNN - Common Mistakes - Python
  • Convolutional Neural Network
  • Optional: CNN Assignment - Python