Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019 — 1d 3h 33m total, 22 videos

1×	1d 3h 33m 29s
1.25×	22h 2m 47s
1.5×	18h 22m 19s
1.75×	15h 44m 51s
2×	13h 46m 45s

Plan to finish

About 28 days at an hour a day

Pick a daily pace and the days you'll watch. Ticked videos are skipped.

At one hour a day, every day, this playlist takes about 28 days. Turn on JavaScript to plan around your week.

Videos (22)

1d 3h 33m in total · tick what you've watched

Tick videos you've watched — progress is saved in this browser.


1	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 1 – Introduction and Word Vectors	1:21:52	2019-03-11
2	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 2 – Word Vectors and Word Senses	1:20:44	2019-03-11
3	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 3 – Neural Networks	1:18:51	2019-03-11
4	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 4 – Backpropagation	1:22:15	2019-03-11
5	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 5 – Dependency Parsing	1:20:22	2019-03-11
6	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 6 – Language Models and RNNs	1:08:25	2019-04-20
7	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 7 – Vanishing Gradients, Fancy RNNs	1:13:23	2019-03-21
8	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 8 – Translation, Seq2Seq, Attention	1:16:57	2019-05-03
9	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 9 – Practical Tips for Projects	1:22:40	2019-03-21
10	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 10 – Question Answering	1:21:01	2019-03-21
11	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 11 – Convolutional Networks for NLP	1:20:19	2019-03-21
12	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 12 – Subword Models	1:15:30	2019-04-05
13	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 13 – Contextual Word Embeddings	1:20:19	2019-03-21
14	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 14 – Transformers and Self-Attention	53:48	2019-03-21
15	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 15 – Natural Language Generation	1:19:37	2019-03-21
16	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 16 – Coreference Resolution	1:19:21	2019-03-21
17	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 17 – Multitask Learning	1:11:54	2019-03-21
18	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 18 – Constituency Parsing, TreeRNNs	1:20:38	2019-04-05
19	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 19 – Bias in AI	56:03	2019-04-05
20	Stanford CS224N: NLP with Deep Learning \| Winter 2019 \| Lecture 20 – Future of NLP + Deep Learning	1:19:15	2019-04-20
21	Stanford CS224N: NLP with Deep Learning \| Winter 2020 \| Low Resource Machine Translation	1:15:46	2021-01-30
22	Stanford CS224N: NLP with Deep Learning \| Winter 2020 \| BERT and Other Pre-trained Language Models	54:29	2021-01-30

Embed a badge

Show the watch time in a README or course description — it links back here and updates itself

Markdown

[![Watch time: 1d 3h 33m · 22 videos](https://playlistduration.com/badge/playlist/PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z.svg)](https://playlistduration.com/playlist/PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)

HTML

<a href="https://playlistduration.com/playlist/PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z"><img src="https://playlistduration.com/badge/playlist/PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z.svg" alt="Watch time: 1d 3h 33m · 22 videos" width="221" height="20"></a>

Add ?speed=1.5 to the image URL for the time at that speed, ?label=Course to change the left text, or ?style=flat-square for square corners.

Want the numbers themselves? GET https://playlistduration.com/api/v1/playlist/PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z returns them as JSON — free, no key. API docs →