Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition [Hardcover]
by Sandhya Samarasinghe
http://www.amazon.com/dp/084933375X
http://www.cs.cmu.edu/~guestrin/Class/10701-S05/slides/NNet-CrossValidation-2-2-2005.pdf
Neural Network Learning
[BOOK] Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the" echo state network" approach
H Jaeger - 2002 - pdx.edu
... universal approximation property") · most popular supervised training algorithm: backpropagation
algorithm · huge literature, 95 % of neural network publications concern feedforward nets (my
estimate ... all biological neural networks are recurrent ... Dotted line: network ouput. 8 ...
algorithm · huge literature, 95 % of neural network publications concern feedforward nets (my
estimate ... all biological neural networks are recurrent ... Dotted line: network ouput. 8 ...
[PDF] A general method for multi-agent reinforcement learning in unrestricted environments
J Schmidhuber - Adaptation, Coevolution and Learning in Multiagent …, 1996 - aaai.org
... each agent is in fact just a connection in a fully recurrent neural net (a by-product of this research
is a general reinforce- ment learning algorithm for such nets). ... Each single connection's
environment continually changes, simply because both network activations and all the ...
is a general reinforce- ment learning algorithm for such nets). ... Each single connection's
environment continually changes, simply because both network activations and all the ...
From perception-action loops to imitation processes: A bottom-up approach of learning by imitation
P Gaussier, S Moga, M Quoy… - Applied Artificial …, 1998 - Taylor & Francis
... straint is that the student architecture must be the same as the teacher neural network (NN)
architecture (a ... The details of the neural architecture are presented in Figure 11. ... The translation
mechanism of the SW block corresponds to the ~TI neuron modeling (Durbin & Rumelhart ...
architecture (a ... The details of the neural architecture are presented in Figure 11. ... The translation
mechanism of the SW block corresponds to the ~TI neuron modeling (Durbin & Rumelhart ...
http://jeremykun.com/2012/12/09/neural-networks-and-backpropagation/
Posted on December 9, 2012 by j2kun
Neurons, as an Extension of the Perceptron Model
Google DeepMind Code
How to Code and Understand DeepMind's Neural Stack Machine
Learning to Transduce with Unbounded Memory
https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/
Posted by iamtrask on February 25, 2016
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