Neural Network in Google Playground
Today's self study day you will be revisiting the concepts you have learnt over the past 2 weeks. Google Playground crash course provides with more detail explanation of the concepts using tensorflow. In case you have pending things to do from yesterday's codecademy course, we advise you to complete codecademy first, and then go through this course.
Try to reflect upon and see for yourself whether you are completing the learning objective given in the course itself.
1) Introduction to Machine learning
2) Key Machine Learning Terminology
5) Reducing Loss: An Iterative Approach
6) Reducing Loss: Gradient Descent
7) Reducing Loss: Learning Rate
8) Reducing Loss: Optimizing Learning Rate -Feel free to play with the interactive experiment with different learning rates and complete the exercises given in the tutorial
9) Reducing Loss: Stochastic Gradient Descent
10) Introduction to Playground with Reduce Loss exercises
11) Generalization - video lecture
13) Splitting Data: Training and Test Sets
14) Validation Set
17) Logistic Regression: Calculating a Probability - Optional
18) Classification: Thresholding
19) Classification: True vs. False and Positive vs. Negative
21) Classification: Precision and Recall
22) Classification: ROC Curve and AUC
23) Neural Network