Intuitive Math for Deep Learning mastery

Guys I’m learning PyTorch with it, Gradient descent, back propagation, various loss and optimizer functions and other algorithms all of which has been abstracted by PyTorch. I somewhat understand it but not really. For this one needs to have a very intuitive understanding of Math, mainly Linear algebra and Calculus, if you wanna be really really good at deep learning. Can any of you tell me how I can master that math that comes with deep learning?

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