February 2017
Intermediate to advanced
370 pages
8h 11m
English
Overview
In the "TensorFlow Machine Learning Cookbook," you'll discover over 60 practical recipes to harness and master TensorFlow, Google's powerful machine learning library. This book takes you from the fundamentals of TensorFlow to implementing advanced techniques such as neural networks and natural language processing. With these recipes, you'll be equipped to handle complex data computations and deploy machine learning models effectively.
What this Book will help me do
- Understand and get hands-on experience with TensorFlow's ecosystem and its essentials for machine learning workflows.
- Learn the principles of Linear Regression and SVM techniques while implementing these with TensorFlow.
- Develop the ability to model and analyze data using artificial neural networks and deep learning recipes.
- Apply deep learning models such as CNNs and RNNs to practical problems like image recognition and sequence prediction.
- Master the process of deploying TensorFlow-based models to production systems for real-world usage.
Author(s)
Nick McClure is an experienced data scientist and machine learning engineer with a strong background in the Python programming language and related technologies. With years of professional experience, he specializes in building machine learning models to solve practical problems. Nick's hands-on approach to teaching allows readers to engage with and effectively implement the technologies discussed.
Who is it for?
This book is designed for data scientists and machine learning practitioners who are familiar with Python or C programming. It caters to those looking to enhance their practical TensorFlow skills. Whether you have intermediate experience and want effective recipes to implement, or are advanced and need innovative techniques for your workflows, this book has something for you.
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