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Python for TensorFlow Pocket Primer
Python for TensorFlow Pocket Primer

Python for TensorFlow Pocket Primer: A Quick Guide to Python Libraries for TensorFlow Developers

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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₱579.99 ₱1755.99
eBook Aug 2024 234 pages 1st Edition
eBook
₱579.99 ₱1755.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
₱579.99 ₱1755.99
eBook Aug 2024 234 pages 1st Edition
eBook
₱579.99 ₱1755.99
eBook
₱579.99 ₱1755.99

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Key benefits

  • Introduction to Python basics
  • Hands-on code samples
  • Practical exercises

Description

As part of the best-selling *Pocket Primer* series, this book prepares programmers for machine learning and deep learning with TensorFlow. It begins with a quick introduction to Python, followed by chapters on NumPy, Pandas, Matplotlib, and scikit-learn. The final chapters provide TensorFlow 1.x code samples, including detailed examples for TensorFlow Dataset, crucial for TensorFlow 2. The journey starts with Python basics and progresses through essential data manipulation and visualization libraries. You'll explore machine learning fundamentals with scikit-learn before diving into TensorFlow, learning to construct data pipelines with TensorFlow Dataset APIs like map(), filter(), and batch(). Understanding these concepts is vital for modern AI applications. This book transitions readers from basic programming to advanced machine learning and deep learning techniques, blending theory with practical skills. Companion files with source code enhance learning, making this an essential resource for mastering Python, machine learning, and TensorFlow.

Who is this book for?

Ideal for software developers with some programming experience. Readers should be familiar with basic command line operations. Prerequisites include a desire to learn TensorFlow and the motivation to follow through with exercises and code samples.

What you will learn

  • Master Python essentials
  • Work with NumPy
  • Utilize Pandas
  • Create visualizations
  • Explore TensorFlow
  • Handle datasets

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 12, 2024
Length: 234 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643241
Category :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
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OR
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Product Details

Publication date : Aug 12, 2024
Length: 234 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643241
Category :

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Table of Contents

7 Chapters
Chapter 1 Introduction to Python Chevron down icon Chevron up icon
Chapter 2 Introduction to NumPy Chevron down icon Chevron up icon
Chapter 3 Introduction to Pandas Chevron down icon Chevron up icon
Chapter 4 Matplotlib, Sklearn, and Seaborn Chevron down icon Chevron up icon
Chapter 5 Introduction to TensorFlow Chevron down icon Chevron up icon
Chapter 6 TensorFlow Datasets Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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