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Friday, May 18, 2018

Télécharger le fichier PDF Deep Learning Revolution, by Terrence J. Sejnowski

Télécharger le fichier PDF Deep Learning Revolution, by Terrence J. Sejnowski

Celui qui rend cette publication est très lu par les quantités des individus est qu'il donne un divers moyens de prononcer le sens de ce livre pour les téléspectateurs. Facile à lire, ainsi que leur tour compréhensible dans une des personnalités composant que les individus vont certainement prendre en compte dans le choix d'une publication. Donc, il est extrêmement approprié de considérer Deep Learning Revolution, By Terrence J. Sejnowski que votre matériel de lecture.

Deep Learning Revolution, by Terrence J. Sejnowski

Deep Learning Revolution, by Terrence J. Sejnowski


Deep Learning Revolution, by Terrence J. Sejnowski


Télécharger le fichier PDF Deep Learning Revolution, by Terrence J. Sejnowski

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Deep Learning Revolution, by Terrence J. Sejnowski

Détails sur le produit

Relié: 352 pages

Editeur : MIT Press (21 septembre 2018)

Collection : The MIT Press

Langue : Anglais

ISBN-10: 9780262038034

ISBN-13: 978-0262038034

ASIN: 026203803X

Dimensions du produit:

23,4 x 16 x 2,3 cm

Moyenne des commentaires client :

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Classement des meilleures ventes d'Amazon:

266.247 en Livres (Voir les 100 premiers en Livres)

This book is NOT about deep learning principles or practice. Despite its titillating title, this is strictly a personal memoir which deals entirely in stories about past colleagues, students, and friends who worked with the author in developing rhe field of neural networks.Since about 1980 Professor Terrence Sejnowski has worked with biologically inspired neural nets. However, his work is NOT notable for the theory behind or the development of today's deep learning algorithms that arose circa 2006. Thus this book consists wholly of a light historical introduction to most of the people who were active in the days of early NNs (since 1975), and Dr Sejnowski's kinship with them, but little beyond that.The text explains none of the technical details of Dr Sejnowski's work, nor the work of other NN pioneers, nor does it offer any tangible predictions or insights into the likely implications of NNs, deep learning, or AI.Frankly, titled as it is, this book was a HUGE disappointment to me. It doesn't delve into deep learning nor any other facet of artificial intelligence to any extent. Read it only if you want a breezy history of Dr. Sejnowski.

This book is a memoir. In addition, although the author does not explain or go into detail about about deep learning, he gives a good perspective on its development over the time of his career, and places it in a larger perspective. Despite not explaining or clarifying technical terms, theory and practical methods, his book is fairly enlightening, as he contributed in important ways to the field, and knew or worked with numerous researchers who contributed significantly. The book has numerous insightful remarks. He seems to have a very open mind, an enormous amount of curiosity, and a tremendous dedication. I recommend his book to achieve some perspective on this currently important field, which has much potential for contributing to many fields of study, and itself has been a multidisciplinary field. Deep learning seems to have acquired much more importance in recent years with the great progress that has been made in computers, in their computing power, miniaturization and success that deep learning has achieved in numerous specialized areas.

Did not like the book and stopped reading half into it. The book is not for an average reader. Felt like you would need a PhD in neuroscience to understand it. Waste of money!

How can someone who was this deeply involved with this whole process of AI development totally ignore others doing parallel work and pretend they are being objective and complete? I was wary as soon as I went to the index and looked for Jeff Hawkins (who in my estimation is way ahead of where Sejnowski and Hinton are in figuring out this theory) and....you guessed it not mentioned. So he has a competing lab, but still, you should cover competitors who are way ahead of you. Just a warning, this is not the whole story and a bit self-serving for Hinton and Sejnowski.

This is a great book for you to understand and appreciate the work of those scientists who contributed the success of today's machine learning approach to artificial intelligence.I am a practitioner of mathematical modeling with different methods. I always believed the nature can and did give us a lot inspiration for scientific discovery and the neural network borrowed the idea from biological neural structure. But this book demonstrated how extensively our progress in neurobiology and artificial intelligence directly derived from biological study of organic structure.Highly recommend this book for those who have a technical background to enjoy the anecdotes as "gossipy" in their spare time. For some topic you will enjoy more if you know the technical background.

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