Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning

September 23, 2025 This lecture covers: 1. Class introduction 2. Examples of deep learning projects 3. Course details More lectures will be published regularly. Andrew Ng Founder of DeepLearning.AI Adjunct Professor, Stanford University’s Computer Science Department Kian Katanforoosh CEO and...

Beginner - 60 min - AI & Data - Stanford Online

The full course: Learn Deep Learning free

What you'll need

• GPU-ready laptop: Train small models locally.
• Laptop stand: Screen at eye level for long study sessions.
• Noise-cancelling headphones: Focus through long video lessons.

Books

1. Deep Learning with Python by Francois Chollet - View on Amazon
2. Deep Learning by Ian Goodfellow - View on Amazon

Next lessons

• Let's build GPT: from scratch, in code, spelled out. (116 min, Andrej Karpathy, Beginner)
• Transformers, the tech behind LLMs | Deep Learning Chapter 5 (27 min, 3Blue1Brown, Intermediate)
• But what is a neural network? | Deep learning chapter 1 (19 min, 3Blue1Brown, Beginner)
• Gradient descent, how neural networks learn | Deep Learning Chapter 2 (21 min, 3Blue1Brown, Intermediate)
• Let's reproduce GPT-2 (124M) (241 min, Andrej Karpathy, Intermediate)
• The spelled-out intro to neural networks and backpropagation: building micrograd (146 min, Andrej Karpathy, Beginner)
• Attention in transformers, step-by-step | Deep Learning Chapter 6 (26 min, 3Blue1Brown, Beginner)
• How might LLMs store facts | Deep Learning Chapter 7 (23 min, 3Blue1Brown, Intermediate)