Deep Learning with PyTorch

Neural networks from scratch

Author: AI Learning Club Team · Difficulty: Intermediate · Duration: 2 hr 13 min · Modules: 26

Modules

1. Introduction to Deep Learning (6 min)
2. PyTorch Fundamentals (6 min)
3. Tensors and Autograd (8 min)
4. Building Neural Networks (8 min)
5. Loss Functions and Optimization (8 min)
6. Training Deep Learning Models (8 min)
7. Working with Data (8 min)
8. DataLoaders and Data Preprocessing (8 min)
9. Convolutional Neural Networks (8 min)
10. Transfer Learning (8 min)
11. Recurrent Neural Networks (8 min)
12. Long Short-Term Memory Networks (8 min)
13. Generative Adversarial Networks (8 min)
14. Autoencoders (8 min)
15. Deploying Models (8 min)
16. Model Evaluation and Improvement (8 min)
17. Advanced PyTorch Features (8 min)
18. Working with GPUs (8 min)
19. Debugging and Optimization (8 min)
20. Best Practices and Tips (10 min)
21. Real-World Applications (8 min)
22. Case Studies (8 min)
23. Ethical Considerations in Deep Learning (8 min)
24. Capstone Project (12 min)
25. Next Steps and Career Paths in Deep Learning (8 min)
26. Resources & References (8 min)

Frequently Asked Questions

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