Deep Learning Pipeline

Building a Deep Learning Model with TensorFlow



Bookstore > Books > Deep Learning Pipeline

Price$30.46 - $35.48
Rating
AuthorsHisham El-Amir, Mahmoud Hamdy
PublisherApress
Published2020
Pages551
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101484253485
ISBN-139781484253489
EBook Hardcover Paperback

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects.

You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.

You'll also develop a deep learning project by preparing data, choosing the model that fits that data, and debugging your model to get the best fit to data all using Tensorflow techniques. Enhance your skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution or entering a Kaggle contest, Deep Learning Pipeline is for you!

Develop a deep learning project using data; Study and apply various models to your data; Debug and troubleshoot the proper model suited for your data.





Similar Books


R Deep Learning Essentials, 2nd Edition

R Deep Learning Essentials, 2nd Edition

by Mark Hodnett, Joshua F. Wiley

Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This bo...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2018

Python Deep Learning Projects

Python Deep Learning Projects

by Matthew Lamons, Rahul Kumar, Abhishek Nagaraja

Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping y...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2018

Java Deep Learning Projects

Java Deep Learning Projects

by Md. Rezaul Karim

Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts.Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several project...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2018

Learning TensorFlow

Learning TensorFlow

by Itay Lieder, Yehezkel Resheff, Tom Hope

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language proc...

Price:  $14.57  |  Publisher:  O'Reilly Media  |  Release:  2017

Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition

Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition

by Rowel Atienza

Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual informa...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2020

Applied Deep Learning

Applied Deep Learning

by Umberto Michelucci

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You'll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing ...

Price:  $22.50  |  Publisher:  Apress  |  Release:  2018

Practical Computer Vision Applications Using Deep Learning with CNNs

Practical Computer Vision Applications Using Deep Learning with CNNs

by Ahmed Fawzy Gad

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will...

Price:  $43.34  |  Publisher:  Apress  |  Release:  2018

Learn Keras for Deep Neural Networks

Learn Keras for Deep Neural Networks

by Jojo John Moolayil

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.The overall book comprises three ...

Price:  $25.49  |  Publisher:  Apress  |  Release:  2019