. Why are linearly separable problems of interest of neural network researchers?
a) Because they are the only class of problem that network can solve successfully
b) Because they are the only class of problem that Perceptron can solve successfully
c) Because they are the only mathematical functions that are continue
d) Because they are the only mathematical functions you can draw
Post New Answer View All Answers
What are conjugate gradients, levenberg-marquardt, etc.?
List some commercial practical applications of artificial neural networks?
How are weights initialized in a network?
What is backprop?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
What learning rate should be used for backprop?
Which is the similar operation performed by the drop-out in neural network?
What can you do with an nn and what not?
What are the applications of a Recurrent Neural Network (RNN)?
Explain Generative Adversarial Network.
Explain neural networks?
How are layers counted?
What are neural networks? What are the types of neural networks?
How artificial neurons learns?
What is a neural network and what are some advantages and disadvantages of such a network?