August 2019
Intermediate to advanced
242 pages
5h 45m
English
We will now briefly cover the history of DL and the historical context from which it emerged, including the following:
While we are specifically interested in DL, the field didn't emerge out of nothing. It is a group of models/algorithms within ML itself, a branch of computer science. It forms one approach to AI. The other, so-called symbolic AI, revolves around hand-crafted (rather than learned) features and rules written in code, rather than a weighted model that contains patterns extracted from data algorithmically.
The idea of thinking machines, before becoming a science, was very much a fiction ...
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