AI and machine learning for coders : a programmer's guide to artificial intelligence / Laurence Moroney ; [foreword by Andrew Ng].

• 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.

• A hands-on introduction for programmers to AI and machine learning covers such topics as computer vision, natural language processing, and sequence modeling for web, mobile, cloud, and embedded runtimes.-- 

Ämnesord

Maskininlärning  (sao)

Artificiell intelligens  (sao)

Machine learning.  (LCSH)

Artificial intelligence.  (LCSH)

Artificial Intelligence  (MeSH)

Apprentissage automatique.  (Vedettes-matière)

Intelligence artificielle.  (Vedettes-matière)

artificial intelligence.  (aat)

Artificial intelligence  (fast)

Machine learning  (fast)

Machine learning  (LCSH)

Artificial intelligence  (LCSH)

Klassifikation

Q325.5 (LCC)

006.31 (DDC)

Pud (kssb/8 (machine generated))