A perceptron is:
a) a single layer feed-forward neural network with pre-processing
b) an auto-associative neural network
c) a double layer auto-associative neural network
d) a neural network that contains feedback
Explain Generative Adversarial Network.
What are conjugate gradients, levenberg-marquardt, etc.?
How artificial neural networks can be applied in future?
What is artificial intelligence neural networks?
How human brain works?
What are combination, activation, error, and objective functions?
What is a Neural Network?
What is a neural network and what are some advantages and disadvantages of such a network?
What is Pooling in CNN and how does it work?
A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
How are layers counted?
How many kinds of nns exist?
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