Convolutional Neural Networks with Swift for Tensorflow

Image Recognition and Dataset Categorization



Bookstore > Books > Convolutional Neural Networks with Swift for Tensorflow

Price$41.57 - $50.79
Rating
AuthorBrett Koonce
PublisherApress
Published2021
Pages245
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101484261674
ISBN-139781484261675
EBook Hardcover Paperback

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language.

It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet.

Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field.




Similar Books


Deep Learning with Swift for TensorFlow

Deep Learning with Swift for TensorFlow

by Rahul Bhalley

Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelera...

Price:  $39.13  |  Publisher:  Apress  |  Release:  2021

Hands-On Convolutional Neural Networks with TensorFlow

Hands-On Convolutional Neural Networks with TensorFlow

by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo

Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!W...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2018

Artificial Neural Networks with Java

Artificial Neural Networks with Java

by Igor Livshin

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. ...

Price:  $13.62  |  Publisher:  Apress  |  Release:  2019

Neural Networks with JavaScript Succinctly

Neural Networks with JavaScript Succinctly

by James McCaffrey

James McCaffrey leads you through the fundamental concepts of neural networks, including their architecture, input-output, tanh and softmax activation, back-propagation, error and accuracy, normalization and encoding, and model interpretation. Although most concepts are relatively simple, there are many of them, and they interact with eac...

Free ebook  |  Publisher:  Syncfusion  |  Release:  2019

Deep Learning with TensorFlow, 2nd Edition

Deep Learning with TensorFlow, 2nd Edition

by Giancarlo Zaccone, Md. Rezaul Karim

Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.This book is conce...

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

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing

by Palash Goyal, Sumit Pandey, Karan Jain

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP...

Price:  $31.93  |  Publisher:  Apress  |  Release:  2018

Keras Deep Learning Cookbook

Keras Deep Learning Cookbook

by Rajdeep Dua, Manpreet Singh Ghotra

Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy.The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popul...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2018

Artificial Neural Networks with Java, 2nd Edition

Artificial Neural Networks with Java, 2nd Edition

by Igor Livshin

Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understand the main principles of neural network ...

Price:  $41.12  |  Publisher:  Apress  |  Release:  2022