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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
4
votes
Struggling to make a neural network mimic a basic if statement
The curvature of the cost surface with these particular inputs and outputs makes this a bit of a pathological example. A 'good' solution can be found by just outputting 0.333 all the time, and if you …
3
votes
Accepted
Stochastic gradient descent for neural networks with tied weights
First of all, shouldn't your equation (1) be the following?
$$
\frac{\partial E}{\partial w_{tied}} = \frac{\partial E}{\partial f}(\frac{\partial f}{\partial h_1}\frac{\partial h_1}{\partial w_1}+\fr …
2
votes
Image classification, narrow domain with custom labels
Here's one tutorial on training a deep convnet from scratch in Keras. There should be plenty of other examples on the web.
You could still use a pre-trained model for this, and just re-train some of …