Packt+ | Advance your knowledge in tech

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Deep Learning with TensorFlow. - Second Edition

You're reading from Deep Learning with TensorFlow. - Second Edition

Product type Book

Published in Mar 2018

Publisher Packt

ISBN-13 9781788831109

Pages 484 pages

Edition 2nd Edition

Languages

Concepts

Authors (2):

Giancarlo Zaccone

Md. Rezaul Karim

View More author details

Table of Contents (15) Chapters

Deep Learning with TensorFlow - Second Edition

Contributors

Preface

Other Books You May Enjoy

1. Getting Started with Deep Learning

2. A First Look at TensorFlow

3. Feed-Forward Neural Networks with TensorFlow

4. Convolutional Neural Networks

5. Optimizing TensorFlow Autoencoders

6. Recurrent Neural Networks

7. Heterogeneous and Distributed Computing

8. Advanced TensorFlow Programming

9. Recommendation Systems Using Factorization Machines

10. Reinforcement Learning

Index

Summary

In this chapter, we looked at some TensorFlow-based libraries for DL research and development. We introduced tf.estimator, which is a simplified interface for DL/ML, and is now part of TensorFlow and a high-level ML API that makes it easy to train, configure, and evaluate a variety of ML models. We used the estimator feature to implement a classifier for the Iris dataset.

We also had a look at the TFLearn library, which wraps a lot of TensorFlow APIs. In the example, we used TFLearn to estimate the chance of survival of passengers on the Titanic. To tackle this task, we built a DNN classifier.

Then, we introduced PrettyTensor, which allows TensorFlow operations to be wrapped to chain any number of layers. We implemented a convolutional model in the style of LeNet to quickly resolve the handwritten classification model.

Then we had a quick look at Keras, which is designed for minimalism and modularity, allowing the user to quickly define DL models. Using Keras, we have learned how to...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime

Authors (2)

Giancarlo Zaccone

Giancarlo Zaccone has over fifteen years' experience of managing research projects in the scientific and industrial domains. He is a software and systems engineer at the European Space Agency (ESTEC), where he mainly deals with the cybersecurity of satellite navigation systems. Giancarlo holds a master's degree in physics and an advanced master's degree in scientific computing. Giancarlo has already authored the following titles, available from Packt: Python Parallel Programming Cookbook (First Edition), Getting Started with TensorFlow, Deep Learning with TensorFlow (First Edition), and Deep Learning with TensorFlow (Second Edition).

See other products by Giancarlo Zaccone

Md. Rezaul Karim

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.

See other products by Md. Rezaul Karim

Other recommended products

Related to this chapter

Predictive Analytics with TensorFlow

Predictive Analytics with TensorFlow

Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. Data mining, statistics, and machine learning allow users to discover predictive intelligence by uncovering patterns and showing the relationship between structured and unstructured data. This book will help you build solutions that will make automated decisions. In the end, tune and build your own predictive analytics model with the help of TensorFlow.

Nov 2017 17 hours 24 minutes

Deep Learning with TensorFlow

Deep Learning with TensorFlow

Machine learning is concerned with algorithms for transforming data into actionable intelligence and predictive analytics. Deep learning is a branch of machine learning based on multiple levels of representations. This book introduces the core concepts of deep learning using the latest version of TensorFlow to get implementation and research details on cutting-edge architectures. You will learn deep learning with the hands-on model building, data collection and transformation and even more!

Apr 2017 10 hours 40 minutes

Java Deep Learning Projects

Java Deep Learning Projects

You will build full-fledged, deep learning applications with Java and different open-source libraries. Master numerical computing, deep learning, and the latest Java programming features to carry out complex advanced tasks. This book is filled with best practices/tips after every project to help you optimize your deep learning models with ease.

Jun 2018 14 hours 32 minutes

Scala Machine Learning Projects

Scala Machine Learning Projects

Scala is one of the widely used programming language in the world when it comes to handle large amount of data. With the rise of machine learning, data scientists and machine learning experts do prefer scala as a language in order to handle and scale efficient machine learning applications. You will be acquainted with the popular deep/machine learning libraries for Scala such as Spark ML/MLlib, H2O, DeepLearning4j, MXNET etc., and will use their features to build and deploy projects on a framework such as Apache Spark. By the end of this book, you will be able to dominate numerical computing, deep learning, and functional programming to carry out complex advanced tasks with ease.

Jan 2018 15 hours 40 minutes

TensorFlow: Powerful Predictive Analytics with TensorFlow

TensorFlow: Powerful Predictive Analytics with TensorFlow

Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google’s brainchild, is immensely popular and extensively used for predictive analysis.

Mar 2018 5 hours 28 minutes

Hands-On Deep Learning for IoT

Hands-On Deep Learning for IoT

This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.

Jun 2019 10 hours 16 minutes

Neural Network Programming with Tensorflow

Neural Network Programming with Tensorflow

If you’re aware of the buzz surrounding the terms such as machine learning, artificial intelligence or deep learning, you might know what neural networks are. TensorFlow is a popular framework which can be used to implement efficient neural networks and deep learning models. This book will show you how to leverage the power of TensorFlow to train efficient neural networks. You will start with understanding the fundamentals and basic math for neural networks and why TensorFlow is a popular choice of tool for programming neural networks. During the course of the book, you will be working on real-world datasets to get a hands-on understanding of neural network programming. By the end of this book, you will have a fair understanding of how you can leverage the power of TensorFlow to train neural networks of varying complexities, without any hassle. While you are learning about various neural network implementations you will learn the underlying mathematics and linear algebra and how it maps to the appropriate TensorFlow constructs.

Nov 2017 9 hours 8 minutes

Practical Convolutional Neural Networks

Practical Convolutional Neural Networks

This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification and attention mechanism for vision models and more. You will implement advanced CNN models using complex image and video datasets. By the end of the book you will learn CNN’s best practices to implement smart ConvNet models and apply them to solve complex deep learning problems.

Feb 2018 7 hours 16 minutes

Caffe2 Quick Start Guide

Caffe2 Quick Start Guide

Caffe2 by Facebook is a popular and relatively lightweight deep learning framework. Caffe2 is known for speed, accuracy and high efficiency in training neural networks. Caffe2 is widely used in mobile apps. This book is a fast paced guide that will teach you how to train and deploy deep learning models with Caffe2 on resource constrained platforms.

May 2019 4 hours 32 minutes

Mastering Predictive Analytics with scikit-learn and TensorFlow

Mastering Predictive Analytics with scikit-learn and TensorFlow

In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.

Sep 2018 5 hours 8 minutes

TensorFlow Machine Learning Cookbook

TensorFlow Machine Learning Cookbook

This book is designed to guide you through TensorFlow and how to use it effectively. You’ll be able to apply it for complex data computations, gain insights into your data, and more. Throughout the book, you’ll work through the recipes and get hands-on experience.

Feb 2017 12 hours 20 minutes

TensorFlow Machine Learning Cookbook

TensorFlow Machine Learning Cookbook

This book will help you overcome any problem you might come across while training and deploying machine learning models using the recently released Tensorflow. This book includes recipes on important machine learning concepts such as supervised and unsupervised learning, as well as neural networks and their real-world applications.

Aug 2018 14 hours 4 minutes

Personalised recommendations for you

Based on your interests and search pattern

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

Aug 2023 7 hours 40 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

Aug 2023 22 hours 48 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

Oct 2023 21 hours 12 minutes

Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

Aug 2023 14 hours 0 minutes

Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

Dec 2023 8 hours 0 minutes

TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

Nov 2023 22 hours 8 minutes