Subscription

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Conferences

Free Learning

You're reading from Practical Convolutional Neural Networks Implement advanced deep learning models using Python

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781788392303

Length 218 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (3):

Mohit Sewak

Md. Rezaul Karim

Pradeep Pujari

View More author details

Table of Contents (11) Chapters

Preface

1. Deep Neural Networks – Overview

2. Introduction to Convolutional Neural Networks FREE CHAPTER

3. Build Your First CNN and Performance Optimization

4. Popular CNN Model Architectures

5. Transfer Learning

6. Autoencoders for CNN

7. Object Detection and Instance Segmentation with CNN

8. GAN: Generating New Images with CNN

9. Attention Mechanism for CNN and Visual Models

10. Other Books You May Enjoy

Leave a review - let other readers know what you think

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Neural Network Programming with Tensorflow
Rajdeep Dua, Manpreet Singh Ghotra

ISBN: 978-1-78839-039-2

Learn Linear Algebra and mathematics behind neural network.
Dive deep into Neural networks from the basic to advanced concepts like CNN, RNN Deep Belief Networks, Deep Feedforward Networks.
Explore Optimization techniques for solving problems like Local minima, Global minima, Saddle points
Learn through real world examples like Sentiment Analysis.
Train different types of generative models and explore autoencoders.
Explore TensorFlow as an example of deep learning implementation.

TensorFlow 1.x Deep Learning Cookbook
Antonio Gulli, Amita Kapoor

ISBN: 978-1-78829-359-4

Install TensorFlow and use it for CPU and GPU operations
Implement DNNs and apply them to solve different...

The rest of the chapter is locked

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 AU $24.99/month. Cancel anytime

Authors (3)

Mohit Sewak

Mohit is a Python programmer with a keen interest in the field of information security. He has completed his Bachelor's degree in technology in computer science from Kurukshetra University, Kurukshetra, and a Master's in engineering (2012) in computer science from Thapar University, Patiala. He is a CEH, ECSA from EC-Council USA. He has worked in IBM, Teramatrix (Startup), and Sapient. He currently doing a Ph.D. from Thapar Institute of Engineering & Technology under Dr. Maninder Singh. He has published several articles in national and international magazines. He is the author of Python Penetration Testing Essentials, Python: Penetration Testing for Developers and Learn Python in 7 days, also by Packt. For more details on the author, you can check the following user name mohitraj.cs

See other products by Mohit Sewak

Pradeep Pujari

https://www.linkedin.com/in/ppujari/

See other products by Pradeep Pujari

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 Karim