How Long to Read Machine Learning with TensorFlow

How Long Does it Take to Read Machine Learning with TensorFlow?

It takes the average reader 5 hours and 2 minutes to read Machine Learning with TensorFlow by Saif Ahmed

Assuming a reading speed of 250 words per minute. Learn more

Description

Tackle common commercial machine learning problems with Google's TensorFlow library and build deployable solutions.About This Book* Set up TensorFlow for actual industrial use, including high-performance setup aspects such as multi-GPU support* Create pipelines for training and using applying classifiers using raw real-world data* Productionize challenges and deploy solutions into a production settingWho This Book Is ForThis book is for data scientists and researchers who are looking to either migrate from an existing machine learning library or jump into a machine learning platform headfirst. The book is also for software developers who wish to learn deep learning by example. Particular focus is placed on solving commercial deep learning problems from several industries using TensorFlow's unique features. No commercial domain knowledge is required, but familiarity with Python and matrix math is expected.What You Will Learn* Set up basic and advanced TensorFlow installations* Deep-dive into training, validating, and monitoring training performance* Set up and run cross-sectional examples (images, time-series, text, and audio)* Create pipelines to deal with real-world input data* Set up and run cross domain-specific examples (economics, medicine, text classification, and advertising)* Empower the reader to go from concept to a production-ready machine learning setup/pipeline capable of real-world usageIn DetailTensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.This book approaches common commercial machine learning problems using Google's TensorFlow library. It will cover unique features of the library such as Data Flow Graphs, training, visualisation of performance with TensorBoard-all within an example-rich context using problems from multiple industries. The is on introducing new concepts through problems that are coded and solved over the course of each chapter.

How long is Machine Learning with TensorFlow?

Machine Learning with TensorFlow by Saif Ahmed is 301 pages long, and a total of 75,551 words.

This makes it 102% the length of the average book. It also has 92% more words than the average book.

How Long Does it Take to Read Machine Learning with TensorFlow Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 52 minutes to read Machine Learning with TensorFlow aloud.

What Reading Level is Machine Learning with TensorFlow?

Machine Learning with TensorFlow is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Machine Learning with TensorFlow?

Machine Learning with TensorFlow by Saif Ahmed is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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