DataSeries
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DataSeries

Understanding the math behind Neural Networks

Neural Networks (NNs) are the typical algorithms employed in deep learning tasks. The reason why they are so popular is, intuitively, because of their ‘deep’ understanding of data, which is provided thanks to their peculiar structure. NNs, indeed, are built in the same way as the human brain’s neurons. Further, they aim at mimicking the way those networks send and receive impulses — basically, NNs mimic the way the human brain actually works.

Another interesting property of NNs is their being flexible in terms of structure and complexity: as you will…

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Valentina Alto

Valentina Alto

2.8K Followers

Cloud Specialist at @Microsoft | MSc in Data Science | Machine Learning, Statistics and Running enthusiast