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cs224n_winter2019_notes_and_assignments's Introduction

Course name:

CS224n: Natural Language Processing with Deep Learning , Stanford / Winter 2019 Official website

Lecture resources

Lecture 1: Introduction and Word Vectors

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video

official notes

Lecture 2: Word Vectors and Word Senses

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official notes

Lecture 3: Word Window Classification, Neural Networks, and Matrix Calculus

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official notes

Lecture 4: Backpropagation

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official notes

Lecture 5: Dependency Parsing

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official notes

Lecture 6: Language Models and RNNs

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official notes

Lecture 7: Vanishing Gradients, Fancy RNNs

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official notes

Lecture 8: Translation, Seq2Seq, Attention

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official notes

Lecture 9: Practical Tips for Projects

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official notes

Lecture 10: Question Answering

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official notes

Lecture 11: Convolutional Networks for NLP

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official notes

Lecture 12: Subword Models

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Lecture 13: Contextual Word Embeddings

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Lecture 14: Transformers and Self-Attention

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Lecture 15: Natural Language Generation

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Lecture 16: Coreference Resolution

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Lecture 17: Multitask Learning

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Lecture 18: Constituency Parsing, TreeRNNs

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official notes

Lecture 19: Bias in AI

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Lecture 20: Future of NLP + Deep Learning

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Assignment solutions

Homework 1

official file

my solution [Finished!]

Homework 2

official file

handout

written part:my answer [Finished!]

coding part:my solution [Finished!]

Homework 3

official file

handout

written part:my answer [Finished!]

coding part:my solution [Finished!]

Homework 4

official file

handout

coding part:my solution [Finished!]

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cs224n_winter2019_notes_and_assignments's Issues

in a2 question e ,it need a small written quenstion.

Very nice HW!

in a2 question e ,it need a small written quenstion.

After you’ve done this, describe with one sentence why this loss function is much more efficient to compute than the naive-softmax loss.

In your homework1, there is a mistake!

As you said in readme file, I install anaconda and gensim, download the ipynb file, but when I input "jupyter notebook exploring_word_vectors.ipynb" in anaconda prompt, there is a mistake, likely the ipynb file has a mistake, how i fix it?

I can't upload the image, there are the text in the mistake window:
"Error loading notebook
Unreadable Notebook: d:\玫瑰花 - (2019)斯坦福CS224n深度学习自然语言处理课程\作业资源\exploring_word_vectors.ipynb NotJSONError("Notebook does not appear to be JSON: '\n\n\n\n\n\n\n<html lang...")"

How i fix it?

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