1. Links for the Courses Materials and Codes.html
2. Module Introduction
3. Training and Epochs
4. Gradient Decent and Back Propagation
5. Bias Variance Trade-Off
6. Performance Metrics
7. Project-Sales Predition
8. Quiz
9. Quiz Solution
10. Which of the Following is used to update the Weights of a Neural Network during Training.html
11. Which of the Following Represents the Number of Times a Machine Learning Model sees the Entire Training Dataset.html
12. Which of the Following is Responsible for Propagating the Error Back through the Neural Network during Training.html
14. Which of the Following is used to Evaluate the Performance of a Machine Learning Model.html
15. Which of the Following is used to add a Constant value to the Output of a Neuron in a Neural Network.html
16. What is the Purpose of Evaluating the Output of a Supervised Learning Algorithm.html
17. Which of the Following Performance Metrics is used to Measure how well a Regression Model Fits the Data.html
18. What is the Purpose of Determining the Residual for each Data Point.html
19. What is the Process of Backpropagation.html
20. What is the Role of the Gradient Descent in Backpropagation.html
21. How does the Network Learn in Reinforcement Learning.html