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What are neural networks and how do they relate to ai?
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A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123
What is backprop?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
How many kinds of nns exist?
Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned
How many kinds of kohonen networks exist?
What are the disadvantages of artificial neural networks?
How are weights initialized in a network?
How are layers counted?
How does ill-conditioning affect nn training?
Which is the similar operation performed by the drop-out in neural network?
Why use artificial neural networks? What are its advantages?
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