Deep Learning Mindset, Boundaries, and Setup

help learners understand when deep learning is worth using and when it is not.

Units

1. Unit 01.00: 01.00 What deep learning adds beyond classical ML
2. Welcome to Deep Learning with PyTorch
3. Unit 01.01: 01.01 Layers, representations, parameters, loss, and data scale
4. What Deep Learning Adds
5. Unit 01.02: 01.02 Why neural networks need more data, compute, and care
6. Why Neural Networks Need More Data, Compute, and Care
7. Unit 01.03: 01.03 CPU, GPU, notebooks, and reproducibility
8. CPU, GPU, Notebooks, and Reproducibility
9. Unit 01.04: 01.04 PyTorch course setup
10. PyTorch Setup Map
11. Unit 01.05: 01.05 Project habit: model cards, dataset cards, and experiment logs
12. Evidence Habits for Deep Learning

Module work

• Activity
• Knowledge check
• Summary