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Hands-on convolutional neural networks with TensorFlow: solve computer vision problems with modeling in TensorFlow and Python

โœ Scribed by Zafar, Iffat

Publisher
Packt Publishing
Year
2018
Tongue
English
Category
Library
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โœฆ Synopsis

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges.

Key Features

  • Learn the fundamentals of Convolutional Neural Networks
  • Harness Python and Tensorflow to train CNNs
  • Build scalable deep learning models that can process millions of items

    Book Description

    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!

    We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the...

    • โœฆ Subjects

    Artificial intelligence;Machine learning;Neural networks (Computer science);Python (Computer program language);Electronic books

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