This week we aimed to make the CNN and Text classifications of our project. Along with that we tried to make a text generator too.

Here is how it works..

LSTM dynamically adjusts and learns the places and usage of words.

At a first sight, this looks intimidating. Let’s ignore the internals, but only look at the inputs and outputs of the unit. The network takes three inputs. X_t is the input of the current time step. h_t-1 is the output from the previous LSTM unit and C_t-1 is the “memory” of the previous unit, which I think is the…

Mehmet Akoguz

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