num_pages: 416
description: Comprehensive recipes to give you valuable insights on Transformers Reinforcement Learning and more 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 Googles machine learning library TensorFlow. This cookbook covers the fundamentals of the TensorFlow library including variables matrices and various data sources. Youll 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. 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.
language: English
title: Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow
publisher: Packt Publishing