Neural Networks are complex ______________ with many parameters.
a) Linear Functions
b) Nonlinear Functions
c) Discrete Functions
d) Exponential Functions
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How are layers counted?
How are artificial neural networks different from normal computers?
What are combination, activation, error, and objective functions?
What is a neural network and what are some advantages and disadvantages of such a network?
How does ill-conditioning affect nn training?
How artificial neurons learns?
What is artificial intelligence neural networks?
Explain Generative Adversarial Network.
Who is concerned with nns?
How neural networks became a universal function approximators?
How to avoid overflow in the logistic function?
How human brain works?
What are neural networks and how do they relate to ai?
Describe the structure of artificial neural networks?
What learning rate should be used for backprop?