| 1. |
Introduction to Artificial Neural Network |
Link |
| 2. |
Backpropagation Algorithm |
Link |
| 3. |
Gradient Descent |
Link |
| 4. |
Implement Multilayer Perceptron to solve a Regression Problem |
Link |
| 5. |
Building an Image Classifier using the Sequential API |
Link |
| 6. |
Building Complex Models Using the Functional API - Part 1 |
Link |
| 7. |
Building Complex Models Using the Functional API - Part 2 |
Link |
| 8. |
Using Subclassing API to Build Dynamic Models |
Link |
| 9. |
Callbacks (Checkpoints & EarlyStopping) - Part 1 |
Link |
| 10. |
Callbacks (TensorBoard) - Part 2 |
Link |
| 11. |
Create a Deno Module (for Linear Regression) |
Link |
| 12. |
Work on Deno Module (Neural Network) |
Link |
| 14. |
Fine-tuning hyperparameters and using gridsearch |
Link |