Course Content
  • 1 Define Input and Output Data
  • 2 Understand the Lineer Module
  • 3 Create an Optimizer and Learn Math Behind It
  • 4 Forward pass
  • 5 Compute loss function
  • 6 Backward pass and optimization
  • 7 Use ReLU (Rectified Linear Unit) activation function
  • 8 Add a dropout layer
  • 9 Number of the Weight and Bias of Lineer(1,10)
  • 10 Mean squared error loss
  • 11 Save and Load the Model
  • 12 Use 2 size input