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The original was posted on /r/machinelearning by /u/cyb0rg14_ on 2024-04-02 06:54:43.
I had done my high school with stem but it had been a year gap when I started learning Deep Learning after that.
I started consuming Deep Learning videos on YouTube without actually knowing the matrix calculus, many probability theories and so so. It felt like I was skipping some parts just to write the code down in PyTorch.
Then I decided to first understand all the maths behind deep learning. The first book I read was: Math for Deep Learning by Ronald T. Kneusel. It was an excellent book and covered all the topics need to start understanding maths behind deep learning.
I wanted to know, if you also had some similar encounter.
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