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MADJDA ZERROUK
MADJDA ZERROUK

MADJDA ZERROUK

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From Recurrent Neural Networks by Mahendran Venkatachalam

RNNs are designed to take a series of input with no predetermined limit on size. One could ask what’s the big deal, I can call a regular NN repeatedly too?

From An Introduction to Recurrent Neural Networks by Suvro Banerjee

A glaring limitation of Vanilla Neural Networks (and also Convolutional Networks) is that their API is too constrained: they accept a fixed-sized vector as input (e.g. an image) and produce a fixed-sized vector as output (e.g. probabilities of different classes). Not only that: These models perform this mapping using a fixed amount of computational steps (e.g. the number of layers in the model).

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SO I TURNED 21 — PART 1

Nihad Mahouni