State-of-the-art deep learning models in Tensorflow : modern machine learning in the Google colab ecosystem /

Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Paper, David
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, 2021.
Temas:
TensorFlow.
Machine learning.
Reinforcement learning.
Apprentissage automatique.
Apprentissage par renforcement (Intelligence artificielle)
Machine learning
Reinforcement learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 1. Build TensorFlow Input Pipelines
  • 2. Increase the Diversity of your Dataset with Data Augmentation
  • 3. TensorFlow Datasets
  • 4. Deep Learning with TensorFlow Datasets
  • 5. Introduction to Tensor Processing Units
  • 6. Simple Transfer Learning with TensorFlow Hub
  • 7. Advanced Transfer Learning
  • 8. Stacked Autoencoders
  • 9. Convolutional and Variational Autoencoders
  • 10. Generative Adversarial Networks
  • 11. Progressive Growing Generative Adversarial Networks
  • 12. Fast Style Transfer
  • 13. Object Detection
  • 14. An Introduction to Reinforcement Learning.

Ejemplares similares