Convolutional Neural Networks with Swift for TensorFlow

Convolutional Neural Networks with Swift for TensorFlow: Image Recognition and Dataset Categorization

eBook Details:

  • Paperback: 268 pages
  • Publisher: WOW! eBook (January 5, 2021)
  • Language: English
  • ISBN-10: 1484261674
  • ISBN-13: 978-1484261675

eBook Description:

Convolutional Neural Networks with Swift for TensorFlow: Image Recognition and Dataset Categorization

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.

What You’ll Learn

  • Categorize and augment datasets
  • Build and train large networks, including via cloud solutions
  • Deploy complex systems to mobile devices

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.

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1 Response

  1. January 19, 2021

    […] Learning with Swift for TensorFlow: Differentiable Programming with […]

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