All the notebooks for DPhi Deep Learning Bootcamp can be found in this repository
| Day | Description | Slides | Notebook |
|---|---|---|---|
| 1 | Introduction to Deep Learning | - | - |
| 2 | Introduction to Neural Networks | - | - |
| 3 | Tensor Operations | - | Link |
| 4 | Neural Networks for Regression | - | Link |
| 5 | Working of Neural Network | - | - |
| 6 & 7 | Binary Classification | - | Link |
| 8 | Activation Functions, Optimizers & Multi-Class Classification | - | Link |
| 9 | Optimizing a Neural Networks - Part 1 | - | - |
| 10 | Optimizing Training of Neural Networks | - | Link |
| 11 | Optimizing a Neural Networks - Part 2 | - | Link |
| 12 | Computer Vision and OpenCV | - | Link |
| 13 | CNN Essentials | - | Link |
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