Deep learning is one of the fastest growing areas of machine learning and a hot topic in both academia and industry. This tutorial tries to figure out what are the real mechanisms that make this technique a breakthrough with respect to the past. To this end, we will review what is a neural network, how we can learn its parameters by using observational data, some of the most common architectures (CNN, LSTM, etc.) and some of the tricks that have been developed during the last years.
CITATION STYLE
Vitrià, J. (2018). Let’s Open the Black Box of Deep Learning! In Lecture Notes in Business Information Processing (Vol. 324, pp. 134–153). Springer Verlag. https://doi.org/10.1007/978-3-319-96655-7_6
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