On the origin of deep learning
This paper is a review of the evolutionary history of deep learning models. It covers from the
genesis of neural networks when associationism modeling of the brain is studied, to the …
genesis of neural networks when associationism modeling of the brain is studied, to the …
The statistical mechanics of learning a rule
TLH Watkin, A Rau, M Biehl - Reviews of Modern Physics, 1993 - APS
A summary is presented of the statistical mechanical theory of learning a rule with a neural
network, a rapidly advancing area which is closely related to other inverse problems …
network, a rapidly advancing area which is closely related to other inverse problems …
[BOOK][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
[BOOK][B] Neural networks for pattern recognition
CM Bishop - 1995 - books.google.com
This book provides the first comprehensive treatment of feed-forward neural networks from
the perspective of statistical pattern recognition. After introducing the basic concepts of …
the perspective of statistical pattern recognition. After introducing the basic concepts of …
[BOOK][B] Introduction to the theory of neural computation
JA Hertz - 2018 - taylorfrancis.com
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
[BOOK][B] Machine learning, neural and statistical classification
D Michie, DJ Spiegelhalter, CC Taylor, J Campbell - 1995 - dl.acm.org
Machine learning, neural and statistical classification | Guide books skip to main content ACM
Digital Library home ACM home Google, Inc. (search) Advanced Search Browse About Sign in …
Digital Library home ACM home Google, Inc. (search) Advanced Search Browse About Sign in …
[BOOK][B] Neural smithing: supervised learning in feedforward artificial neural networks
R Reed, RJ MarksII - 1999 - books.google.com
Artificial neural networks are nonlinear map** systems whose structure is loosely based
on principles observed in the nervous systems of humans and animals. The basic idea is …
on principles observed in the nervous systems of humans and animals. The basic idea is …
Single-layer learning revisited: a stepwise procedure for building and training a neural network
A stepwise procedure for building and training a neural network intended to perform
classification tasks, based on single layer learning rules, is presented. This procedure …
classification tasks, based on single layer learning rules, is presented. This procedure …
[BOOK][B] Neural networks: an introduction
B Müller, J Reinhardt, MT Strickland - 2012 - books.google.com
Neural Networks presents concepts of neural-network models and techniques of parallel
distributed processing in a three-step approach:-A brief overview of the neural structure of …
distributed processing in a three-step approach:-A brief overview of the neural structure of …
[BOOK][B] Neural Network Learning and Expert Systems
SI Gallant - 1993 - books.google.com
" Most neural network programs for personal computers simply control a set of fixed, canned
network-layer algorithms with pulldown menus. This new tutorial offers hands-on neural …
network-layer algorithms with pulldown menus. This new tutorial offers hands-on neural …