Deep learning: the revolution of Artificial Intelligence
AUThoR
Cyrielle Chauwin
PAGES
16
PUBLIshed
Mai 2022
Themes
Artificial Intelligence
About this white paper
This ebook describes the main principles of Deep Learning, a subfield of Machine Learning and Data Science in the broadest sense. It traces its history, from its origins with the formal neuron, to its current main principles, but also its future prospects.
Technical
but
vulgarized
, it is aimed at
to data professionals, but also to the most curious who are not afraid to talk a little "tech".
Brush up on your basics or take the opportunity to learn about the main principes of Deep Learning with concrete examples and anecdotes.
What you will learn
You can discover the main themes of Deep Learning, divided into three main parts:
-
Its origins: the artificial neuron or formal neuron,
the multi-layer neural network, the success of the 2000s
and its advent thanks to the ImageNet competition
- Its main principes: a review of Machine Learning, how Deep Learning works, its use cases and the main techniques
- Its future perspectives and points of attention: interpretability, network learning and new innovative techniques
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