Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks

© Jalil Villalobos Alva 2021

J. Villalobos AlvaBeginning Mathematica and Wolfram for Data Sciencehttps://doi.org/10.1007/978-1-4842-6594-9_9

9. Neural Networks with the Wolfram Language

Jalil Villalobos Alva¹  

(1)

Mexico City, Mexico

 

In this block will start with the basic foundations of the neural network framework in the Wolfram Language. The chapter starts with the concepts of layers, how to use the commands for different layers, and the most common layers. We will learn how to enter data into the layers by the net port, as well as the different forms of equivalent expression of the layers. This is followed by how to distinguish different layers by their symbol. We will see that layers can have multiple options that enable the layer to have various ...