Q. 1 Clearly describe what is meant for a neural network to be completely connected? Also,...
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Q. 1 Clearly describe what is meant for a neural network to be completely connected? Also, describe what a weight coefficient (e.g., WA) refers to in a neural network (This Q adapted from DKD Q2) Q. 2 Describe how neural networks function nonlinearly (This Q same as DKD Q5) Q. 3 Describe the benefits and drawbacks of using large or small values for the learning rate (This Q same as DKD Q10) Q. 1 Clearly describe what is meant for a neural network to be completely connected? Also, describe what a weight coefficient (e.g., WA) refers to in a neural network (This Q adapted from DKD Q2) Q. 2 Describe how neural networks function nonlinearly (This Q same as DKD Q5) Q. 3 Describe the benefits and drawbacks of using large or small values for the learning rate (This Q same as DKD Q10)
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