Day | Description | Content |
---|---|---|
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 |
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