All Projects → bat67 → Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn

bat67 / Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn

Licence: other
PyTorch1.0 深度学习:60分钟入门与实战(Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习)

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn

Keras Pytorch Avp Transfer Learning
We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
Stars: ✭ 42 (-66.93%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Pytorch Playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Stars: ✭ 2,201 (+1633.07%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Deep Learning Boot Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
Stars: ✭ 1,270 (+900%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Daily Deeplearning
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
Stars: ✭ 381 (+200%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Pytorch Tutorials Examples And Books
PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍
Stars: ✭ 346 (+172.44%)
Mutual labels:  numpy, pytorch-tutorials
Deep Tutorials For Pytorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Stars: ✭ 971 (+664.57%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Pytorch Rl
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Stars: ✭ 121 (-4.72%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Machine Learning Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Stars: ✭ 883 (+595.28%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Gdrl
Grokking Deep Reinforcement Learning
Stars: ✭ 304 (+139.37%)
Mutual labels:  numpy, pytorch-tutorials
Pytorch Seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+2591.34%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Pytorch Image Classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (+114.17%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
pytorch-examples-cn
用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)
Stars: ✭ 54 (-57.48%)
Mutual labels:  pytorch-tutorial, learning-pytorch
Pytorch Pos Tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-24.41%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Pytorch Sentiment Analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+2426.77%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
Pytorch Tutorials Kr
🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
Stars: ✭ 148 (+16.54%)
Mutual labels:  translation, pytorch-tutorials
tutorials-kr
🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
Stars: ✭ 271 (+113.39%)
Mutual labels:  pytorch-tutorial, pytorch-tutorials
wavebin
∿ Oscilloscope waveform capture viewer and converter.
Stars: ✭ 31 (-75.59%)
Mutual labels:  numpy
de-DE
Special German permalink sanitize
Stars: ✭ 45 (-64.57%)
Mutual labels:  translation
SimpleTranslationSystem
A simple C# translation system
Stars: ✭ 14 (-88.98%)
Mutual labels:  translation
fdtd
A 3D electromagnetic FDTD simulator written in Python
Stars: ✭ 195 (+53.54%)
Mutual labels:  numpy

PyTorch深度学习:60分钟入门与实战

Deep Learning with PyTorch A 60 Minute Blitz 中文翻译版,翻译不对的地方拜托大家指出~

对PyTorch感兴趣的童鞋欢迎看这个-->PyTorch教程、例子和书籍合集

目录

1、简介

此教程的目标:

  • 更高层次地理解Pythrch的Tensor库以及神经网络。
  • 训练一个小的神经网络模型用于分类图像。

本教程假设读者对numpy有基本的了解

2、环境

3、目录

3.1、什么是PyTorch?(What is PyTorch?)

3.2、Autograd:自动求导

3.3、神经网络(Neural Networks)

3.4、训练分类器(Training a Classifier)

3.5 选读:数据并行处理(Optional: Data Parallelism)

4、类似项目

5、版权信息

除非额外说明,本仓库的所有公开文档均遵循署名-非商业性使用-相同方式共享 4.0 国际 (CC BY-NC-SA 4.0)许可协议。

您可以自由地:

  • 共享 — 在任何媒介以任何形式复制、发行本作品
  • 演绎 — 修改、转换或以本作品为基础进行创作

惟须遵守下列条件:

  • 署名 — 您必须给出适当的署名,提供指向本许可协议的链接,同时标明是否(对原始作品)作了修改。您可以用任何合理的方式来署名,但是不得以任何方式暗示许可人为您或您的使用背书。
  • 非商业性使用 — 您不得将本作品用于商业目的。
  • 相同方式共享 — 如果您再混合、转换或者基于本作品进行创作,您必须基于与原先许可协议相同的许可协议 分发您贡献的作品。
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].