TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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miguelgfierro
commented
Mar 29, 2019
Description
@wutaomsft suggestion:
it would be a good discussion point what is preferred way to make references in notebooks. I prefer not to have a"reference" section where references are separate from where they are referred. Instead, link the reference "in place". And then add a paragraph for "additional reading", which is more descr
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The Fullstack Tutorial for GraphQL
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A bunch of links to blog posts, articles, videos, etc for learning Rust
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An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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One question I get often is why contributors should create branches to push their code.
Provide users a better understanding of how branching helps workflow in GitHub
We don't wanna bloat the main tutorial. This can be added to https://github.com/firstcontributions/first-contributions/blob/master/additional-material