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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

0 votes

Neural Network Ensemble Averaging

Firstly, even a single hidden layer neural network with as many hidden units as needed, can approximate any function (the so called universal approximation property of neural networks http://deeplearn …
Rakesh Chalasani's user avatar
1 vote

How to propagate error from convolutional layer to previous layer?

Looks like the question is more about, how to propagate error through pooling layer. You can find the answer here for max-pooling: https://datascience.stackexchange.com/questions/11699/backprop-thro …
Rakesh Chalasani's user avatar
3 votes

overtrain the CNN?

CNN, like any other neural network, overfits to the training data if it is trained for too long on the same training dataset. The purpose of the validation set is to stop training when performance on …
Rakesh Chalasani's user avatar