Found 24 repositories(showing 24)
d2l-ai
Homepage for STAT 157 at UC Berkeley
wbhelloo
《动手学深度学习》中文课件在slides-zh目录https://github.com/d2l-ai/berkeley-stat-157.git
yuanbenson
Assignments from Berkeley's stat157 Deep Learning course. This class provides a practical introduction to deep learning, including theoretical motivations and how to implement it in practice. As part of the course we will cover multilayer perceptrons, backpropagation, automatic differentiation, and stochastic gradient descent. Moreover, we introduce convolutional networks for image processing, starting from the simple LeNet to more recent architectures such as ResNet for highly accurate models. Secondly, we discuss sequence models and recurrent networks, such as LSTMs, GRU, and the attention mechanism. Throughout the course we emphasize efficient implementation, optimization and scalability, e.g. to multiple GPUs and to multiple machines. The goal of the course is to provide both a good understanding and good ability to build modern nonparametric estimators.
JiahongChen
This repo provides Pytorch implementation for codes in the book "Dive Into Deep Learning" (http://d2l.ai/) and course Berkeley STAT 157 (https://courses.d2l.ai), which gives a brief tutorial on deep learning methods.
xuganyu96
Repository for Berkeley STAT 157 semester project on attaching discriminatory network onto a variational autoencoder to provide a learnable loss function to replace a pixel-by-pixel loss function commonly used by conventional VAE implementation.
MandiZhao
For Berkeley Deep Learning Course Stat 157
caojilin
No description available
enrique96lopez
No description available
Website for the UC Berkeley class STAT 157 / STAT 260.
derektopper
Stuff for Berkeley Stat 157
gray0018
STAT 157, UC Berkeley, Spring, 2019
kartikperisetla
Berkeley Stat 157 - Deep Learning course
simbahebinbo
No description available
santoshray02
No description available
mrbone9
No description available
kellylove1987
No description available
leozhoujf
No description available
berkeley-stat157
No description available
huangshunliang
No description available
swupnil
[UC Berkeley: Fall 2012 Stat 157] U.S. Presidential Election Prediction Paper and Code
No description available
entrekid
Based on Deep Dive into DL(http://d2l.ai) and STAT 157 of UC Berkeley
manikandan-ravikiran
Extrapolation of https://github.com/d2l-ai/d2l-en and http://courses.d2l.ai/berkeley-stat-157/index.html
drmeow
This is a repository holding the code for the homework on the questionaire for group 10 in stat 157 at berkeley, fall 2013
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