Convolutional Neural Networks with Swift for Tensorflow

Convolutional Neural Networks with Swift for Tensorflow
PDF, ePUB
  • eBook:
    Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization
  • Author:
    Brett Koonce
  • Edition:
    1 edition
  • Categories:
  • Data:
    February 15, 2021
  • ISBN:
    1484261674
  • ISBN-13:
    9781484261675
  • Language:
    English
  • Pages:
    266 pages
  • Format:
    PDF, ePUB

Book Description
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. 

What You'll Learn
  • Categorize and augment datasets
  • Build and train large networks, including via cloud solutions
  • Deploy complex systems to mobile devices
Who This Book Is For
Developers with Swift programming experience who would like to learn convolutional neural networks by example using Swift for Tensorflow as a starting point.

Content

Chapter 1: MNIST: 1D Neural Network
Chapter 2: MNIST: 2D Neural Network
Chapter 3: CIFAR: 2D Neural Network with Blocks
Chapter 4: VGG Network
Chapter 5: ResNet 34
Chapter 6: ResNet 50
Chapter 7: SqueezeNet
Chapter 8: MobileNet v1
Chapter 9: MobileNet v2
Chapter 10: EfficientNet
Chapter 11: MobileNetV3
Chapter 12: Bag of Tricks
Chapter 13: MNIST Revisited
Chapter 14: You Are Here

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