Stanford CS230: Deep Learning I Autumn 2025
Total watch time
13h 57m
at 1× speed · exactly 13 hours, 56 minutes, 43 seconds at 1×
| 1× | 13h 56m 43s |
|---|---|
| 1.25× | 11h 9m 22s |
| 1.5× | 9h 17m 49s |
| 1.75× | 7h 58m 7s |
| 2× | 6h 58m 22s |
Plan to finish
About 14 days at an hour a day
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Videos (9)
13h 57m in total · tick what you've watched
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| Watched | ||||
|---|---|---|---|---|
| 1 |
 Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning
|
1:00:17 | 2025-10-01 | |
| 2 |
 Stanford CS230 | Autumn 2025 | Lecture 2: Supervised, Self-Supervised, & Weakly Supervised Learning
|
1:39:48 | 2025-10-07 | |
| 3 |
 Stanford CS230 | Autumn 2025 | Lecture 3: Full Cycle of a DL project
|
1:07:05 | 2025-10-15 | |
| 4 |
 Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models
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1:47:17 | 2025-10-21 | |
| 5 |
 Stanford CS230 | Autumn 2025 | Lecture 5: Deep Reinforcement Learning
|
1:45:01 | 2025-10-31 | |
| 6 |
 Stanford CS230 | Autumn 2025 | Lecture 6: AI Project Strategy
|
1:15:18 | 2025-11-05 | |
| 7 |
 Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG
|
1:49:54 | 2025-11-21 | |
| 8 |
 Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI
|
1:45:09 | 2025-12-17 | |
| 9 |
 Stanford CS230 | Autumn 2025 | Lecture 10: What’s Going On Inside My Model?
|
1:46:54 | 2025-12-15 |
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