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itzNukeey t1_j6einlp wrote

Andrew Ng has some great lectures and courses on Coursera.

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IshanDandekar t1_j6e4uxg wrote

Maybe start with machine learning first. Projects in machine learning will help. Then go through MOOCs. Then projects again. Then pick your field and then projects again.

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robertsdionne t1_j6ercye wrote

https://www.deeplearningbook.org/ "The online version of the book is now complete and will remain available online for free."

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Kuchenkiller t1_j6f3r1n wrote

This is actually the best answer here. Diving straight into DL will pretty quickly demotivate and make it seem like an impossibility shortly after switching from an online toy example to something real world. I can confirm, this is a great book that also includes the necessary basics. Since it was published it has a well deserved space on my office table.

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florisjuh t1_j6h1ffh wrote

Probably good to accompany it with a more practical book (or courses) though, such as Sebastian Raschka's Machine Learning with PyTorch and scikit-learn or Francois Chollet's Deep Learning with Python (Keras/Tensorflow). Also I found Dive into Deep Learning https://d2l.ai to be a pretty nice resource to learn about more SOTA deep learning models and techniques.

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junetwentyfirst2020 t1_j6g911v wrote

CS231n on YouTube. It’s a little bit older but it has just about everything i’d ask if I was giving you a job interview.

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gelvis101 t1_j6f4j8q wrote

Have a look at FastAI

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Moderatecat t1_j6elwxf wrote

Read academic papers to find challenges and then dive deep into it. Also deep learning is very broad, narrow it down a bit down the road

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Wild_Dragonfruit1744 t1_j6e295d wrote

I guess you can do some project

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