Math for Deep Learning: What You Need to Know to Understand Neural Networks – Ronald T. Kneusel – ELEARNING SOS
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Math for Deep Learning: What You Need to Know to Understand Neural Networks

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Math for Deep Learning: What You Need to Know to Understand Neural Networks
by Ronald T. Kneusel

You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.

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