A a programmer's guide to artificial intelligence Moroney, Laurence creator author text BO 2021 monographic eng

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365 pages : illustrations ؛ 28cm a 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 privac Laurence Moroney Includes index Machine learning Artificial intelligence Machine learning Q325.5 .M66 2021 9781492078197 IQ-NaUA 260211 20260211011300.0 ara