What is the significance of Dense layer after RNN or LSTM layer while training models ?
•To change the dimension of output layer from its preceding layer.
•establishing relationships between the data values in the model we are working
•connect the input features to every neurons in the layer
•project dimensions of features to a new dimension.
•in case of classification model, dense layer is used to classify the data based on output from convolution layers.
Regards
DP
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