Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Stanford Tensorflow Tutorials | 10,276 | 3 years ago | 88 | mit | Python | |||||
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. | ||||||||||
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我的自学笔记,终身更新,当前专注System基础、MLSys。 | ||||||||||
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Machine Learning Resources, Practice and Research | ||||||||||
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Completed the CS231n 2017 spring assignments from Stanford university | ||||||||||
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Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch. | ||||||||||
Cs231n 2019 Assignments | 108 | 10 months ago | 36 | mit | Jupyter Notebook | |||||
Solution to CS231n Assignments 2019 |
This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research.
It will be updated as the class progresses.
Detailed syllabus and lecture notes can be found here.
For this course, I use python3.6 and TensorFlow 1.4.1.
For the code and notes of the previous year's course, please see the folder 2017 and the website https://web.stanford.edu/class/cs20si/2017
For setup instruction and the list of dependencies, please see the setup folder of this repository.