A current, structured university course with notebooks and videos; choose for a systematic deep learning curriculum.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
- 5.7k
- Jupyter Notebook
- NOASSERTION
deep learning tutorials (TensorFlow)
A collection of Jupyter notebook tutorials for deep learning using TensorFlow, with accompanying YouTube videos.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
A current, structured university course with notebooks and videos; choose for a systematic deep learning curriculum.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Broader ML example collection covering many libraries; pick when you need examples beyond TensorFlow deep learning.
A collection of machine learning examples and tutorials.
C++ PyTorch tutorials; pick when you need C++ and PyTorch instead of Python TensorFlow.
C++ Implementation of PyTorch Tutorials for Everyone
Chinese-language PyTorch tutorials with exercises; for PyTorch learners preferring Chinese.
Build your neural network easy and fast, 莫烦Python中文教学
A book-style PyTorch tutorial; pick for a structured PyTorch introduction.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Korean-language machine learning tutorials; for Korean-speaking beginners.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Focused PyTorch tutorials for deep learning researchers; if you use PyTorch.
PyTorch Tutorial for Deep Learning Researchers
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Older but familiar TensorFlow examples for legacy codebases; unmaintained.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Outdated TensorFlow tutorials with simple runnable code; for historical reference.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Unofficial TensorFlow best-practices guide, now outdated.
TensorFlow tutorials and best practices.
A very beginner-friendly but narrow and outdated ML tutorial.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
TensorFlow 2.x tutorials covering many model types, but stale and unmaintained.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
These projects were analysed and named TensorFlow-Tutorials among their alternatives. The relationship is not symmetric — how TensorFlow-Tutorials rates them is a separate judgement, made when TensorFlow-Tutorials is analysed in its own right.
calls TensorFlow-Tutorials “choose if you need the legacy TensorFlow 1.x tutorial style; otherwise superseded.”
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
calls TensorFlow-Tutorials “Use for classic TensorFlow tutorials with video explanations, if you want legacy TF content.”
:satellite: Simple and ready-to-use tutorials for TensorFlow
calls TensorFlow-Tutorials “choose only if you need classic TensorFlow 1.x tutorials with video walkthroughs.”
Tutorials, assignments, and competitions for MIT Deep Learning related courses.