How Long to Read Machine Learning Using TensorFlow Cookbook

How Long Does it Take to Read Machine Learning Using TensorFlow Cookbook?

It takes the average reader 7 hours and 8 minutes to read Machine Learning Using TensorFlow Cookbook by Alexia Audevart

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

Description

Comprehensive recipes to give you valuable insights on Transformers, Reinforcement Learning, and more Key FeaturesDeep Learning solutions from Kaggle Masters and Google Developer ExpertsGet to grips with the fundamentals including variables, matrices, and data sourcesLearn advanced techniques to make your algorithms faster and more accurateBook Description The independent recipes in Machine Learning Using TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training models, model evaluation, sentiment analysis, regression analysis, artificial neural networks, and deep learning - each using Google’s machine learning library, TensorFlow. This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data sources. You’ll discover real-world implementations of Keras and TensorFlow and learn how to use estimators to train linear models and boosted trees, both for classification and regression. Explore the practical applications of a variety of deep learning architectures, such as recurrent neural networks and Transformers, and see how they can be used to solve computer vision and natural language processing (NLP) problems. With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement machine learning algorithms in real-world scenarios. What you will learnTake TensorFlow into productionImplement and fine-tune Transformer models for various NLP tasksApply reinforcement learning algorithms using the TF-Agents frameworkUnderstand linear regression techniques and use Estimators to train linear modelsExecute neural networks and improve predictions on tabular dataMaster convolutional neural networks and recurrent neural networks through practical recipesWho this book is for If you are a data scientist or a machine learning engineer, and you want to skip detailed theoretical explanations in favor of building production-ready machine learning models using TensorFlow, this book is for you. Basic familiarity with Python, linear algebra, statistics, and machine learning is necessary to make the most out of this book.

How long is Machine Learning Using TensorFlow Cookbook?

Machine Learning Using TensorFlow Cookbook by Alexia Audevart is 417 pages long, and a total of 107,169 words.

This makes it 141% the length of the average book. It also has 131% more words than the average book.

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

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 45 minutes to read Machine Learning Using TensorFlow Cookbook aloud.

What Reading Level is Machine Learning Using TensorFlow Cookbook?

Machine Learning Using TensorFlow Cookbook 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 Using TensorFlow Cookbook?

Machine Learning Using TensorFlow Cookbook by Alexia Audevart 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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