紐約大學(xué)：《深度學(xué)習(xí)》2021年課程全部在線可看！含中文課件
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文章編輯?機(jī)器學(xué)習(xí)與推薦算法
Yann LeCun在紐約大學(xué)數(shù)據(jù)科學(xué)中心（CDS）主講的《深度學(xué)習(xí)》 2021年春季課程現(xiàn)已全部在線可看！
該課程自2021年春季開始由Yann LeCun與Alfredo Canziani等共同執(zhí)教。
CDS發(fā)布了Yann LeCun的深度學(xué)習(xí)（DS-GA 1008）課程的所有材料，包括帶英文字幕教學(xué)視頻、書面講義、課件以及帶有PyTorch實(shí)現(xiàn)的可執(zhí)行Jupyter Notebooks。
課程關(guān)注深度學(xué)習(xí)和表示學(xué)習(xí)的最新技術(shù)， 重點(diǎn)關(guān)注有監(jiān)督和無監(jiān)督深度學(xué)習(xí)、嵌入方法、度量學(xué)習(xí)、 卷積和循環(huán)網(wǎng)，以及在計(jì)算機(jī)視覺、自然語言理解和語音識(shí)別方面的應(yīng)用。 前提條件包括:DS-GA 1001數(shù)據(jù)科學(xué)入門或研究生水平的機(jī)器學(xué)習(xí)課程。 地址：https://cds.nyu.edu/deep-learning/ 資源
YouTube視頻：https://www.youtube.com/watch?v=mTtDfKgLm54
官方中文版講義：https://atcold.github.io/pytorch-Deep-Learning/zh/
課件：https://github.com/Atcold/NYU-DLSP21
GitHub：hhttps://atcold.github.io/NYU-DLSP21/
Reddit論壇：https://www.reddit.com/r/NYU_DeepLearning/
Theme 1: Introduction
History and resources??????
Gradient descent and the backpropagation algorithm??????
Neural nets inference??????
Modules and architectures???
Neural nets training???????????
Homework 1: backprop
Theme 2: Parameters sharing
Recurrent and convolutional nets?????????
ConvNets in practice?????????
Natural signals properties and the convolution?????????
Recurrent neural networks, vanilla and gated (LSTM)???????????
Homework 2: RNN & CNN
Theme 3: Energy based models, foundations
Energy based models (I)??????
Inference for LV-EBMs??????
What are EBMs good for????
Energy based models (II)?????????
Training LV-EBMs??????
Homework 3: structured prediction
Theme 4: Energy based models, advanced
Energy based models (III)??????
Unsup learning and autoencoders??????
Energy based models (VI)??????
From LV-EBM to target prop to (any) autoencoder??????
Energy based models (V)??????
AEs with PyTorch and GANs???????????
Theme 5: Associative memories
Energy based models (V)??????
Attention & transformer?????????
Theme 6: Graphs
Graph transformer nets?[A][B]??????
Graph convolutional nets (I) [from last year]??????
Graph convolutional nets (II)?????????
Theme 7: Control
Planning and control??????
The Truck Backer-Upper?????????
Prediction and Planning Under Uncertainty??????
Theme 8: Optimisation
Optimisation (I) [from last year]??????
Optimisation (II)?????????
Miscellaneous
SSL for vision?[A][B]??????
Low resource machine translation?[A][B]??????
Lagrangian backprop, final project, and Q&A?????????
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