Math for Deep Learning is a good book for deep learing beginner. It will introduce the math of deep learning commonly used in a easy understand ways. This book includes these topics:
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setting up a
pythonenvironment for practicing -
basic knowledge of probability and statistics
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basic knowledge of linear algeber
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basic knowledge of differntial calculus and matix calculus
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how data flow in neural networks, backpropogation and gradient descent
This book has covered the basic math for deep learning, enjoying your math journey.