January 2019
Intermediate to advanced
294 pages
6h 43m
English
Our thought process always has a sequence. We always understand things in an order. For example, if we watch a movie, we understand the next sequence by connecting it with the previous one. We retain the memory of the last sequence and get an understanding of the whole movie. We don't always go back to the first sequence in order to get it.
Can a neural network act like this? Traditional ones typically cannot operate in this manner and that is a major shortcoming. This is where recurrent neural networks make a difference. It comes with a loop that allows information to flow:

Here, a neural network takes an input as ...
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