Phase 6: Deep Learning

Discover the mechanics behind modern AI brains. You will construct artificial neural networks from the ground up and master industry-standard deep learning frameworks like TensorFlow and PyTorch to power advanced image and pattern recognition systems.

The curriculum is public. Reading these lessons requires access to the corresponding paid track. Compare access and pricing.

What will you learn?

• Build neural networks
• Use deep learning frameworks

Lessons and practice

1. Lesson 1: What is Deep Learning?
2. Lesson 2: Neurons, Weights & Bias — The Math Behind the Layer
3. Lesson 3: Activation Functions — Why They Exist and When to Use Each
4. Lesson 4: PyTorch DataLoader & Datasets — Loading Real Data
5. Deep Learning Basic Practice - Hands-On Exercises
6. Deep Learning Basic Interview Questions: Comprehensive Q&A Guide
7. Deep Learning Basic Cheatsheet: Quick Reference Guide
8. Lesson 1: Training a Neural Network (Backpropagation)
9. Lesson 2: Loss Functions — How the Model Measures Its Own Mistakes
10. Lesson 3: Optimisers — How the Model Fixes Its Mistakes
11. Lesson 4: Neural Network Training Diagnostics & Debugging
12. Deep Learning Neural Networks Practice Questions & Exercises
13. Deep Learning & Neural Networks Interview Questions
14. Deep Learning & Neural Networks Cheat Sheet
15. Lesson 1: Regularisation and Optimisation Tricks
16. Advanced Deep Learning Practice
17. Advanced Deep Learning Interview Questions
18. Advanced Deep Learning Cheat Sheet
19. Lesson 1: Convolutional Neural Networks (CNNs) & Computer Vision
20. Lesson 2: Recurrent Neural Networks (RNNs) & LSTMs for Sequence Data
21. Advanced Neural Networks Practice
22. Advanced AI Interview Questions
23. Advanced Neural Networks Cheatsheet

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