book

Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift

Name: Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift
Author: Rahul Bhalley
ISBN: 9781484263303

by Rahul Bhalley

January 2021

Intermediate to advanced

295 pages

6h 17m

English

Apress

Content preview from Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift

R. BhalleyDeep Learning with Swift for TensorFlowhttps://doi.org/10.1007/978-1-4842-6330-3_2

2. Essential Math

Rahul Bhalley¹

(1)

Ludhiana, India

Nothing takes place in the world whose meaning is not that of some maximum or minimum.
—Leonhard Euler

This chapter introduces mathematics essential to understand the basics of neural networks. We emphasize you to not skip this chapter if your mathematical concepts are rusty. You may use this chapter as reference when studying later chapters.

In Section 2.1, we introduce linear algebra which is used to make predictions with the neural network and compute the gradients of the loss function with respect to the neural network which makes learning possible. Efficient implementation of linear ...

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