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Mastering Go

You're reading from   Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781838559335
Length 798 pages
Edition 2nd Edition
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Author (1):
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Mihalis Tsoukalos Mihalis Tsoukalos
Author Profile Icon Mihalis Tsoukalos
Mihalis Tsoukalos
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Table of Contents (15) Chapters Close

1. Go and the Operating System 2. Understanding Go Internals FREE CHAPTER 3. Working with Basic Go Data Types 4. The Uses of Composite Types 5. How to Enhance Go Code with Data Structures 6. What You Might Not Know About Go Packages and Functions 7. Reflection and Interfaces for All Seasons 8. Telling a UNIX System What to Do 9. Concurrency in Go – Goroutines, Channels, and Pipelines 10. Concurrency in Go – Advanced Topics 11. Code Testing, Optimization, and Profiling 12. The Foundations of Network Programming in Go 13. Network Programming – Building Your Own Servers and Clients 14. Machine Learning in Go 15. Other Books You May Enjoy

Working with TensorFlow

TensorFlow is a rather famous open-source platform for machine learning. In order to use TensorFlow with Go, you will first need to download a Go package:

$ go get github.com/tensorflow/tensorflow/tensorflow/go
  

However, for the aforementioned command to work, the C interface for TensorFlow should be already installed. On a macOS Mojave machine, this can be installed as follows:

$ brew install tensorflow
  

If the C interface is not installed, and you try to install the Go package for TensorFlow, you will get the following error message:

$ go get github.com/tensorflow/tensorflow/tensorflow/go
# github.com/tensorflow/tensorflow/tensorflow/go
ld: library not found for -ltensorflow
clang: error: linker command failed with exit code 1 (use -v to see invocation)
  

As TensorFlow is pretty complex, it would be good to execute the following command in order...

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