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Math for Deep Learning by Ronald T. Kneusel
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Math for Deep Learning

Best Seller
Math for Deep Learning by Ronald T. Kneusel
Paperback
Nov 23, 2021 | ISBN 9781718501904

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  • Nov 23, 2021 | ISBN 9781718501904

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  • Oct 26, 2021 | ISBN 9781718501911

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Praise

“What makes Math for Deep Learning a stand-out, is that it focuses on providing a sufficient mathematical foundation for deep learning, rather than attempting to cover all of deep learning, and introduce the needed math along the way. Those eager to master deep learning are sure to benefit from this foundation-before-house approach.”
–Ed Scott, Ph.D., Solutions Architect & IT Enthusiast

Table Of Contents

Introduction
Chapter 1: Setting the Stage
Chapter 2: Probability
Chapter 3: More Probability
Chapter 4: Statistics
Chapter 5: Linear Algebra
Chapter 6: More Linear Algebra
Chapter 7: Differential Calculus
Chapter 8: Matrix Calculus
Chapter 9: Data Flow in Neural Networks
Chapter 10: Backpropagation
Chapter 11: Gradient Descent
Appendix: Going Further

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