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


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Description


Chapter 1: MNIST: 1D Neural Network
Chapter 2: MNIST: 2D Neural Network
Chapter 3: CIFAR: 2D Nueral Network with Blocks
Chapter 4: VGG Network
Chapter 5: Resnet 34
Chapter 6: Resnet 50
Chapter 7: SqueezeNet

Chapter 8: MobileNrt v1
Chapter 9: MobileNet v2
Chapter 10: Evolutionary Strategies
Chapter 11: MobileNet v3
Chapter 12: Bag of Tricks
Chapter 13: MNIST Revisited
Chapter 14: You are Here

Author: Brett Koonce
Publisher: Apress
Published: 02/15/2021
Pages: 245
Binding Type: Paperback
Weight: 0.84lbs
Size: 9.21h x 6.14w x 0.56d
ISBN13: 9781484261675
ISBN10: 1484261674
BISAC Categories:
- Computers | Programming | Macintosh
- Computers | Artificial Intelligence | General

About the Author
Brett Koonce is the CTO of Quarkworks, a mobile consulting agency. He's a developer with five years experience creating apps for iOS and Android. His team has worked on dozens of apps that are used by millions of people around the world. Brett knows the pitfalls of development and can help you avoid them. Whether you want to build something from scratch, port your app from iOS to Android (or vice versa) or accelerate your velocity, Brett can help.