Highway Network Architecture

To learn complex and abstract representations (correct)

To increase the number of parameters in the model

To improve the computational efficiency of the model

To reduce the dimensionality of the input data

It reduces the risk of overfitting

It increases the speed of training

It allows the model to learn long-range dependencies (correct)

It reduces the number of parameters required

Transform gate

Carry gate

Update gate (correct)

Reset gate

<p>To transform the previous state to the current state</p> Signup and view all the answers

<p>The weighted sum of the transformed and carry states</p> Signup and view all the answers