# Are there good resources for learning deep learning in Julia?

**URL:** <https://discourse.julialang.org/t/are-there-good-resources-for-learning-deep-learning-in-julia/48355>\
**Category:** Machine Learning\
**Created:** [October 14, 2020, 11:23am UTC](https://discourse.julialang.org/t/are-there-good-resources-for-learning-deep-learning-in-julia/48355 "2020-10-14T11:23:49Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![rajnrao](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rajnrao/32/20637_2.png) [@rajnrao](https://discourse.julialang.org/u/rajnrao)\
**Post date:** [December 30, 2020, 1:55pm UTC](https://discourse.julialang.org/t/are-there-good-resources-for-learning-deep-learning-in-julia/48355/3 "2020-12-30T13:55:11Z")

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If you’re still looking to deepen your learning (pun, intended), check out

> [@U. Michigan Online Course Computational ML for Scientists and Engineers](https://discourse.julialang.org/t/u-michigan-online-course-computational-ml-for-scientists-and-engineers/52574):
>
> The University of Michigan’s Continuum Jumpstart Course Computational Machine Learning (ML) for Scientists and Engineers is designed to equip you with the knowledge you need to understand, train, design and machine learning algorithms, particularly deep neural networks, and even deploy them on the cloud. You’ll learn by programming machine learning algorithms from scratch in a hands-on manner using a one-of-a-kind cloud-based interactive computational textbook that will guide you, and check you…

It’s not easy but it’s setup to go deeper than a MOOC, with instructional staff support.

Either way, it’s a great time to learn ML and starting with Julia makes it so much easier to link math to code.

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