Tensors, Shapes, Datasets, and DataLoaders

make learners fluent with the data structures used by neural networks.

Units

1. Unit 02.00: Tensor shape, dtype, device, and batch dimension
2. Unit 02.01: Creating tensors from NumPy and tabular data
3. Unit 02.02: Indexing, reshaping, stacking, and broadcasting
4. Unit 02.03: Datasets and DataLoaders
5. Unit 02.04: Train, validation, and test splits for deep learning
6. Unit 02.05: Project step: create a reusable dataloader

Module work

• Activity
• Knowledge check
• Summary