Practical TensorFlow.js : deep learning in web app development /

Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow. js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard, ml5js, tfjs-vis. This book will cover all these technologies and show they integrate with TensorFlow...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rivera, Juan De Dios Santos
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : APress, [2020]
Temas:
TensorFlow.
Machine learning.
Artificial intelligence.
Artificial Intelligence
Machine Learning
Apprentissage automatique.
Intelligence artificielle.
artificial intelligence.
Computers > Intelligence (AI) & Semantics.
Artificial intelligence
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Welcome to TensorFlow.js
  • Chapter 2: Training Our First Models
  • Chapter 3: Doing k-means with ml5.js
  • Chapter 4: Recognizing Handwritten Digits with Convolutional Neural Networks
  • Chapter 5: Making a Game with PoseNet, a Pose Estimator Model
  • Chapter 6: Identifying Toxic Text from a Google Chrome Extension
  • Chapter 7: Object Detection with a Model Trained in Google Cloud AutoML
  • Chapter 8: Training an Image Classifier with Transfer Learning on Node.js
  • Chapter 9: Time Series Forecasting and Text Generation with Recurrent Neural Networks
  • Chapter 10: Generating Handwritten Digits with Generative Adversarial Networks
  • Chapter 11: Things to Remember, What's Next for You, and Final Words
  • Appendix A: Apache License 2.0.

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