3. Deep-learning
Here, we deliberately limit ourselves to an overview of the specific features of supervised deep learning and convolutional neural networks for image classification.
As explained in §
1.2.2
...
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Ongoing reading
Deep-learning
Bibliography
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(1) - RUMELHART (D.E.), HINTON (G.E.), WILLIAMS (R.J.) - Learning representations by back-propagating errors. - Nature, 323 (6088) : 533-536 (1986).
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(2) - CYBENKO (G.) - Approximation by superpositions of a sigmoidal function. - Mathematics of Control, Signals, and...
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