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5.7kJupyter NotebookNOASSERTIONactive · last push 6mo agoGitHub

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Hvass-Labs/TensorFlow-TutorialsGitHub

calls t81_558_deep_learning “A current, structured university course with notebooks and videos; choose for a systematic deep learning curriculum.”

TensorFlow Tutorials with YouTube Videos

9.3kJupyter Notebookdormant
MITDeepLearning/introtodeeplearningGitHub

calls t81_558_deep_learning “Choose when you want a Keras-focused applied deep learning course with self-contained notebooks instead of MIT 6.S191.”

Lab Materials for MIT 6.S191: Introduction to Deep Learning

8.8kJupyter Notebookslowing
aymericdamien/TensorFlow-ExamplesGitHub

calls t81_558_deep_learning “Choose for an applied, Keras-focused deep learning course with practical assignments if you want real-world applications.”

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

43.7kJupyter Notebookdormant
zergtant/pytorch-handbookGitHub

calls t81_558_deep_learning “choose when you want a Keras/TensorFlow university course with video lectures rather than a PyTorch-only handbook.”

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

21.7kJupyter Notebookdormant
nndl/nndlGitHub

calls t81_558_deep_learning “choose for a Keras-based practical course with real-world applications, not a general theory textbook.”

邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。

19.2kactive
janishar/mit-deep-learning-book-pdfGitHub

calls t81_558_deep_learning “University course materials with Keras examples; choose if you prefer structured lectures and labs over a standalone book.”

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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rasbt/python-machine-learning-bookGitHub

calls t81_558_deep_learning “Choose for a deep-learning-focused course using Keras.”

The "Python Machine Learning (1st edition)" book code repository and info resource

12.6kJupyter Notebookactive
lazyprogrammer/machine_learning_examplesGitHub

calls t81_558_deep_learning “When you want a university Keras deep learning course with structured assignments, instead of the seed's less organized snippets.”

A collection of machine learning examples and tutorials.

8.9kPythonactive
MorvanZhou/PyTorch-TutorialGitHub

calls t81_558_deep_learning “Choose it for Keras-based deep learning course materials with practical applications.”

Build your neural network easy and fast, 莫烦Python中文教学

8.5kJupyter Notebookdormant
MLEveryday/practicalAI-cnGitHub

calls t81_558_deep_learning “When your target stack is TensorFlow/Keras and you want a structured university course with notebooks.”

AI实战-practicalAI 中文版

6.9kJupyter Notebookactive
Avik-Jain/100-Days-Of-ML-CodeGitHub

calls t81_558_deep_learning “choose for a university-style deep-learning (Keras) course; narrower focus on neural networks.”

100 Days of ML Coding

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datawhalechina/leedl-tutorialGitHub

calls t81_558_deep_learning “Use for Keras-focused applied deep learning, but it is narrower in theory and framework choice.”

《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases

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Yorko/mlcourse.aiGitHub

calls t81_558_deep_learning “when you want a university deep-learning-only course (Keras) instead of a broad ML course.”

Open Machine Learning Course

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rasbt/python-machine-learning-book-2nd-editionGitHub

calls t81_558_deep_learning “When you want university Keras course materials focused on applied deep learning.”

The "Python Machine Learning (2nd edition)" book code repository and info resource

7.2kJupyter Notebookdormant