Deep Learning Pipeline
Building a Deep Learning Model with TensorFlow
| Price | $30.46 - $35.48
|
| Rating |  |
| Authors | Hisham El-Amir, Mahmoud Hamdy |
| Publisher | Apress |
| Published | 2020 |
| Pages | 551 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1484253485 |
| ISBN-13 | 9781484253489 |
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts.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.
- Hisham El-Amir
- Mahmoud Hamdy
Similar Books
by Nihkil Ketkar
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Faceboo...
Price: $32.99 | Publisher: Apress | Release: 2020
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
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
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
Hands-On Machine Learning with C++
by Kirill Kolodiazhnyi
C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to...
Price: $48.95 | Publisher: Packt Publishing | Release: 2020
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
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
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