Introduction
  • Introduction
Lecture 2 - Inspiration for Deep Learning
  • Background
  • History of Deep Learning
Section 3 - Key Concepts of Deep Learning
  • Key Concepts of Deep Learning
  • Key Concepts
Lecture 4 - Improving the model
  • Improving the model
  • Optimizing the model
Section 5 : Convolutional Network
  • Lecture 5 - Convolutional network
  • CNN
Lecture 6: Recurrent network
  • Recurrent network
  • RNN
Lecture 7 : Word representation
  • Word representation
  • Word representation