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Introduction to Deep Learning

2024 · Wahyu Pebrianto

Description

This course covers the fundamentals of deep learning, including neural networks, backpropagation, CNNs, RNNs, and their applications in computer vision and textual data.

Outline

1. Applied mathematics and machine learning basics
2. History and introduction to neural networks
3. Backpropagation
4. Deep neural networks
5. Convolutional neural networks
6. Recurrent neural networks
7. Transformers
8. Practical methodology and applications
9. Transfer learning
10. Deep learning for image classification
11. Deep learning for object detection
12. Deep learning for object segmentation
13. Deep learning in LLMs
14. GPT
15. Multimodal AI
16. Deep learning research

Course materials

Videos, slides and notebooks will be added here.