https://github.com/Atcold/NYU-DLSP21

NYU Deep Learning Spring 2021
https://github.com/Atcold/NYU-DLSP21

deep-learning ebm nyu yann-le-cunn

Last synced: about 2 months ago
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NYU Deep Learning Spring 2021

• Host: GitHub
• URL: https://github.com/Atcold/NYU-DLSP21
• Owner: Atcold
• Created: 2021-04-15T22:20:41.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2024-09-10T16:48:17.000Z (3 months ago)
• Last Synced: 2024-10-27T15:26:41.490Z (about 2 months ago)
• Topics: deep-learning, ebm, nyu, yann-le-cunn
• Language: Jupyter Notebook
• Homepage: https://atcold.github.io/NYU-DLSP21/
• Size: 29.7 MB
• Stars: 1,572
• Watchers: 53
• Forks: 275
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# NYU Deep Learning Spring 2021 (NYU-DLSP21)

[🇬🇧](https://github.com/Atcold/NYU-DLSP21/blob/master/README.md)   [🇫🇷](https://github.com/Atcold/NYU-DLSP21/blob/master/docs/fr/README-FR.md)

## Content new organisation

This semester we have reorganised the didactic material.

In the first half of the semester we covered 3 topics, spanning two weeks, each followed by an assignment.

Moreover, each lecture had a corresponding practicum.

1. History, backpropagation, and gradient descent

2. Parameter sharing: recurrent and convolutional networks

3. Latent variable (LV) energy based models (EBMs)

Pay attention that we have redesigned the curriculum and lectures' content.

We've treated LV-EBM as a *basic* module, which to build upon.

## Enters the semester's second half

I thought I was going to repropose the same practica I've used during [NYU-DLSP20](https://github.com/Atcold/NYU-DLSP20), last year edition, just in different order.

But I couldn't.

This year's students have LV-EBMs on their side.

We told them about *the cake* and now I cannot pretend it doesn't exist and teach as if they were unaware of the elephant in the room.

It would have been intellectually dishonest.

Henceforth, I've redesigned my whole deck of slides.

## This semester repository

That's why this repo has been created.

I'm **not** going to try to do the same insane work I've put up with last year, but I need a space where to post updated slides, notebooks, and host new transcriptions.

Last year material is still valid.

This year you have a different take.

A more powerful one.

## Previous releases

Before NYU-DLSP21 there were…

- [NYU-DLSP20](https://github.com/Atcold/NYU-DLSP20) (major release)

- [NYU-DLSP19](https://github.com/Atcold/NYU-DLSP20/releases/tag/dlsp19)

- [AIMS-DLFL19](https://github.com/Atcold/NYU-DLSP20/releases/tag/aims-fl18)

- [CoDaS-HEP18](https://github.com/Atcold/NYU-DLSP20/releases/tag/v1.0.0)

- [NYU-DLSP18](https://docs.google.com/document/d/1_p1Mw-NtMGN_vpas_pchLsQC2u0NM5mTnRapBrQ2ivk/)

- [Purdue-DLFL16](https://docs.google.com/document/d/1ugJRMqQ_cCUQC1B8mSE0iro7sKrDT8-BnppTZv0rA08/)

- [torch-Video-Tutorials](https://github.com/Atcold/torch-Video-Tutorials)

## More info

Keep reading on the [class website](https://atcold.github.io/NYU-DLSP21/).