Convolutional neural networks with Swift for Tensorflow : image recognition and dataset categorization

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 ove...

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Detalles Bibliográficos
Otros Autores: Koonce, Brett, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress [2021]
Edición:1st ed. 2021.
Materias:
TensorFlow.
Neural networks (Computer science)
Data sets.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631674706719
Tabla de Contenidos:
  • 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.

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