How to learn machine learning as a complete beginner: a self-study guide
A step-by-step roadmap of how to learn machine learning as a beginner.
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BOOK RECOMMENDATIONS
Grokking Deep Learning by Andrew Trask
The 100-page Machine Learning Handbook by Andriy Burkov
Deep Learning with PyTorch by Laura Mitchell, Sri Yogesh K, and Vishnu Subramanian
1a. FEED-FORWARD NEURAL NETWORKS
Chapter 1 of Book by Michael Nielsen: https://neuralnetworksanddeeplearning...
Grokking Deep Learning (Chapters 2,3)
The 100-page Machine Learning Handbook (Chapter 3.1, 3.2, Chapter 6)
1b. GRADIENT DESCENT / BACKPROPAGATION
Grokking Deep Learning (Chapters 4,6)
Chapter 2 of Book by Michael Nielsen:
https://neuralnetworksanddeeplearning...
2. CONVOLUTIONAL NEURAL NETWORKS
Two videos by Computerphile:
Blurs and filters: • How Blurs & Filters Work - Computerphile
Edge detection: • Finding the Edges (Sobel Operator) - Compu...
Intro to CNNs: • CNN: Convolutional Neural Networks Explain...
Deep Learning with PyTorch (Chapter 5)
3. RECURRENT NEURAL NETWORKS
Grokking Deep Learning (Chapters 11 and 12)
Video by Serrano Academy: • A friendly introduction to Recurrent Neura...
Stat Quest: • Recurrent Neural Networks (RNNs), Clearly ...
4. AUTOENCODERS
Deep Learning with Pytorch (Chapter 6).
Video playlist by Digital Sreeni:
• Autoencoders and their applications
5. REINFORCEMENT LEARNING
Deep Learning with Pytorch (Chapter 9).
6. ATTENTION
Blog post by Jay Alammar: https://jalammar.github.io/illustrate...
Lecture by Stanford Online: • Stanford CS25: V2 I Introduction to Transf...
Intro: (0:00)
Three book recommendations: (0:53)
Feed-Forward Neural Networks: (2:06)
Convolutional Neural Networks: (4:12)
Recurrent Neural Networks: (5:21)
Autoencoders: (6:36)
Reinforcement Learning: (7:20)
Attention: (7:54)
General Tips: (9:06)