Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition


Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision and NLP
  • Handy techniques to write production-ready code for your Tensorflow models

Book Description

TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before.

With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production.

By the end of the book, you will be proficient in the field of machine intelligence using TensorFlow. You will also have good insight into deep learning and be capable of implementing machine learning algorithms in real-world scenarios.

What you will learn

  • Become familiar with the basic features of the TensorFlow library
  • Get to know Linear Regression techniques with TensorFlow
  • Learn SVMs with hands-on recipes
  • Implement neural networks to improve predictive modeling
  • Apply NLP and sentiment analysis to your data
  • Master CNN and RNN through practical recipes
  • Implement the gradient boosted random forest to predict housing prices
  • Take TensorFlow into production

Who this book is for

If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading pages and pages of material, this book is for you. Some background in Python programming is assumed.

Table of Contents

  1. Getting Started with TensorFlow
  2. The TensorFlow Way
  3. Linear Regression
  4. Support Vector Machines
  5. Nearest Neighbor Methods
  6. Neural Networks
  7. Natural Language Processing
  8. Convolutional Neural Networks
  9. Recurrent Neural Networks
  10. Taking TensorFlow to Production
  11. More with TensorFlow
(HTML tags aren't allowed.)

The Legacy of Albert Einstein: A Collection of Essays in Celebration of the Year of Physics
The Legacy of Albert Einstein: A Collection of Essays in Celebration of the Year of Physics
"In this slender volume, about a dozen experts reflect succinctly on a variety of currently interesting topics, from black hole entropy in string theory to the challenge of dark energy. The book should interest primarily graduate students in physics and also some undergraduates ... is a fine reflection of the internationalism of modern science...
An Introduction to Game Theory
An Introduction to Game Theory

Game-theoretic reasoning pervades economic theory and is used widely in other social and behavioral sciences. An Introduction to Game Theory, by Martin J. Osborne, presents the main principles of game theory and shows how they can be used to understand economic, social, political, and biological phenomena. The book introduces in an...

Beginning Django CMS
Beginning Django CMS

Build a world-class website in less than a week with Django CMS. Beginning Django CMS shows you how to simply and easily write a dynamic website with a full content management system in the backend. It is written for Internet developers who are sick and tired of dealing with complicated, bloated website...

The Blockchain Alternative: Rethinking Macroeconomic Policy and Economic Theory
The Blockchain Alternative: Rethinking Macroeconomic Policy and Economic Theory

Examine what would happen if we were to deploy blockchain technology at the sovereign level and use it to create a decentralized cashless economy. This book explains how finance and economics work today, and how the convergence of various technologies related to the financial sector can help us find solutions to problems,...

An Introduction to Quantum Computing Algorithms
An Introduction to Quantum Computing Algorithms
In 1994 Peter Shor [65] published a factoring algorithm for a quantum computer that finds the prime factors of a composite integer N more efficiently than is possible with the known algorithms for a classical com­ puter. Since the difficulty of the factoring problem is crucial for the se­ curity of a public key encryption system,...
Django 2 by Example: Build powerful and reliable Python web applications from scratch
Django 2 by Example: Build powerful and reliable Python web applications from scratch

Learn Django with four end-to-end projects

Key Features

  • Learn Django by building real-world web applications from scratch
  • Develop powerful web applications quickly using the best coding practices
  • Integrate other technologies into your application with clear,...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy