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
Clasificación:Libro Electrónico
Autor principal: Koonce, Brett
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, 2021.
Temas:
TensorFlow.
Neural networks (Computer science)
Data sets.
Neural Networks, Computer
Datasets as Topic
Réseaux neuronaux (Informatique)
Jeux de données.
Dataset
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
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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