Buduma, Nikhil, <br/><br/>
Fundamentals of deep learning :  designing next-generation machine intelligence algorithms / 
Nikhil Buduma ; with contributions by Nicholas Locascio. 
 - First edition. 
 - xii, 283 pages :  illustrations 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>The neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning. 
<br/><br/><label>ISBN: </label>9781491925614 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Machine learning.<br/>Neural networks (Computer science)<br/>Artificial intelligence.<br/>Machine learning.<br/>Neural networks (Computer science)<br/>Deep learning<br/>K�unstliche Intelligen<br/>Maschinelles Lernen
<br/><br/><label>LC Class. No.: </label>TA 347.A78 BUD 2017