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Enhancing Deep Learning with Bayesian Inference

You're reading from  Enhancing Deep Learning with Bayesian Inference

Product type Book
Published in Jun 2023
Publisher Packt
ISBN-13 9781803246888
Pages 386 pages
Edition 1st Edition
Languages
Authors (3):
Matt Benatan Matt Benatan
Profile icon Matt Benatan
Jochem Gietema Jochem Gietema
Profile icon Jochem Gietema
Marian Schneider Marian Schneider
Profile icon Marian Schneider
View More author details

Table of Contents (11) Chapters

Preface Chapter 1: Bayesian Inference in the Age of Deep Learning Chapter 2: Fundamentals of Bayesian Inference Chapter 3: Fundamentals of Deep Learning Chapter 4: Introducing Bayesian Deep Learning Chapter 5: Principled Approaches for Bayesian Deep Learning Chapter 6: Using the Standard Toolbox for Bayesian Deep Learning Chapter 7: Practical Considerations for Bayesian Deep Learning Chapter 8: Applying Bayesian Deep Learning Chapter 9: Next Steps in Bayesian Deep Learning Why subscribe?

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, and user input. Here is an example: ”Any attempt to run code that has such issues will immediately cause the interpreter to fail, raising a SyntaxError exception.”

A block of code is set as follows:

 
{const set = function(...items) {  
    this.arr  = [...items];  
    this.add = {function}(item) {  
        if( this._arr.includes(item) ) {  
            return false; (SC-Source)}

Any command-line input or output is written as follows:

 
$ python3 script.py

Some code examples will represent the input of shells. You can recognize them by specific prompt characters:

  • >>> for interactive Python shell
  • $ for Bash shell (macOS and Linux)
  • > for CMD or PowerShell (Windows)

Warnings or important notes appear like this.

Important note

Warnings or important notes appear like this.

Tips and tricks appear like this.

Tips or tricks

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