Skip to content
ml-recall

#relu-network

8 questions from Neural Network Basics

Timed test

8 questions · 8 min · score and explanations at the end

Take a test
Q 1 / 8Score 0 / 0

Question 1: Short answer

easyAI-checkedNeural Network Basics

A ReLU network maps a scalar input xx to a scalar output with l=3l = 3 weight layers, f(x)=W3 ReLU(W2 ReLU(W1x+b1)+b2)+b3,f(x) = W_3\,\mathrm{ReLU}\big(W_2\,\mathrm{ReLU}(W_1 x + b_1) + b_2\big) + b_3, and both hidden layers have width k=10k = 10. How many trainable parameters (weights and biases) does it have?

a whole number