Calculus and backpropagation #
Labs and exercises #
| 1. | Adversarial images | |
| 2. | Fancy derivatives | |
| 3. | MNIST via dense neural networks | |
| 4. | Finetuning a pre-trained model |
Machine learning: 2. Backpropagation
| 1. | Adversarial images | |
| 2. | Fancy derivatives | |
| 3. | MNIST via dense neural networks | |
| 4. | Finetuning a pre-trained model |