Topics
Forward Propagation - 2
Error Function in Gradient Descent
Derivative of Sigmoid Function
Math behind Backpropagation - 1
Math behind Backpropagation - 2
Math behind Backpropagation - 3
Implementing a simple Neural Network
Optimizing our code using Vectors Operations
Total Derivatives
Math behind Backpropagation
Implementing a general Neural Network

Have any doubts or queries regarding Neural Networks - II in Data Science & Machine Learning Complete?

If you have any questions regarding Neural Networks - II in Data Science & Machine Learning Complete we encourage you to sign up for a free trial of the course and solve your doubts. Our Teaching assistants typically respond within 20 minutes