I have an idea for a CMS enhancement, to extract text information from images (for example, scanned documents), and want to know if there is already anything out there to help me along?  Basically, I want to know if there is an existing OCR script w...
I have edges of a network:    var links = [   {source: "A", target: "D", type: "high"},   {source: "A", target: "K", type: "high"},   {source: "B", target: "G", type: "high"},...
I am trying to use brain.js or synapse.js (or any other JS NN library) to accomplish the following:   I have an 3-axis accelerometer I have 4 motors   My input looks like:  {   accelX: 0.12,   accelY: 0.25,   accelZ: 0.91,   powerA: 1,   powerB: 0.75...
I have been learning about neural networks and genetic algorithms, and to test my learning, have tried to make an AI that learns to play flappy bird:    I have left it running for at least 10 hours (overnight and longer), but the fittest member still...
I am trying to build a network graph (like a network for brain) to display millions of nodes. I would like to know to what extent I can push the d3 js to in terms of adding more network nodes on one graph?  Like for example, http://linkedjazz.org/net...
The function in question is rendering the neural network represented on the right side of this image based on a fairly simple data structure.  Trying to evolve:    After evolving:    Each dot represents a neuron, each line a connection. There's a...
I really need help implementing a continuous tanh-sigmoid activation function in a very basic neural network. If you could give a basic example that would be great, but if you could change it in my source code I would be extremely grateful! Also, wha...
Building a basic Perceptron. My results after training are very inconsistent, even after 1000's of epochs. The weights seem to adjust properly, however the model fails to accurately predict. A second pairs of eyes on the structure would be greatl...
EDIT: This answer helps very much, however, I would really like some actual tensor flow javascript code to show how to implement this. How to train a RNN with LSTM cells for time series prediction  Other questions I found do not cover normalization o...
i have a project which use the same data, which in my c++ code it need 17sec to train 100 data, meanwhile in javascript code from this project   https://github.com/CodingTrain/Toy-Neural-Network-JS it running only about 10sec to train 2400data please...

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