AI and machine learning for coders : a programmer's guide to artificial intelligence /
Moroney, Laurence,author.
Includes index.
Actually published in Sebastopol, CA.
Building models. Introduction to TensorFlow -- Introduction to computer vision -- Going beyond the basics: detecting features in images -- Using public datasets with TensorFlow datasets -- Introduction to natural language processing -- Making sentiment programmable using embeddings -- Recurrent neural networks for natural language processing -- Using TensorFlow to create text -- Understanding sequence and time series data -- Creating ML models to predict sequences -- Using convolutional and recurrent methods for sequence models -- Using models. An introduction to TensorFlow Lite -- Using TensorFlow Lite in Android apps -- Using TensorFlow Lite in iOS apps -- An introduction to TensorFlow.js -- Coding techniques for computer vision in TensorFlow.js -- Reusing and converting Python models to JavaScript -- Transfer learning in JavaScript -- Deployment with TensorFlow serving -- AI ethics, fairness and privacy.
Machine learning.
Artificial intelligence.
Artificial intelligence
Machine learning