Return to Workshops
1: Regression and Perceptron Models
- Notebooks
- Linear and Logistic Regressions:
- Single and Multi-Layer Perceptron
- MNIST with Keras:
- MNIST with PyTorch:
2: Convolutional and Recurrent Models
- Notebook
- Convolutional Networks
- CIFAR100 with Keras:
- CIFAR100 with PyTorch:
- Recurrent and Gated Recurrent Networks
- IMDB with Keras:
- GRNNs with PyTorch:
3: Mechanisms for Optimal Performance
- Notebooks
- Mechanisms
- Optimizers
- Normalization
- Skip Connections
- Transfer Learning
- FastAI