RNNs Basics
Respond to the following questions
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Q1 The figure below shows a RNN with one input unit x, one logistic hidden unit h, and one linear output unit y. The Network parameters are Wxh=-0,1, Whh=0.5 and Why=0.25, hbias=0.4 and ybias=0.0. The input takes the values 18, 9, -8 at time steps 0,1 and 2.
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Q2 The logistic regression corresponds to the following equation
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Q3 Compute the hidden unit value h0
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Q4 The output unit values...
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Q5 Consider the following RNN
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Q6 For the image from previous question, every arrow denotes the effect of a variable at time t on a variable at time t+1. Which feed forward Neural Network is equivalent to this network unrolled in time?
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Q7 Mark all statements that are true
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