Neural Networks are complex ______________ with many parameters.
a) Linear Functions
b) Nonlinear Functions
c) Discrete Functions
d) Exponential Functions
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Describe the structure of artificial neural networks?
What are artificial neural networks?
What are the disadvantages of artificial neural networks?
What is the role of activation functions in a Neural Network?
Explain Generative Adversarial Network.
What learning rate should be used for backprop?
How are weights initialized in a network?
How does ill-conditioning affect nn training?
How to avoid overflow in the logistic function?
What can you do with an nn and what not?
What is the advantage of pooling layer in convolutional neural networks?
How are nns related to statistical methods?
List some commercial practical applications of artificial neural networks?
How artificial neurons learns?
What are the applications of a Recurrent Neural Network (RNN)?