How to build LSTM model using dynet

This recipe helps you build LSTM model using dynet

Recipe Objective - How to build LSTM model using dynet

import dynet as dy

we will use builder and we will use the "LSTMBuilder" module to create LSTM model


pc = dy.ParameterCollection()
num_layers=3
input_dim=60
hidden_dim=20
LSTMbuilder = dy.LSTMBuilder(num_layers, input_dim, hidden_dim, pc)

s0 = LSTMbuilder.initial_state()
x1 = dy.vecInput(input_dim)

s1=s0.add_input(x1)
y1 = s1.output()
# here, we add x1 to the RNN, and the output we get from the top is y (a HIDEN_DIM-dim vector)
y1.npvalue().shape

s2=s1.add_input(x1) # we can add another input
y2=s2.output()

we will use ".h" function to access the hidden states.


print(s2.h())

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