How many inputs does the first hidden layer have?
Deep Learning CNN Convolutional Neural Networks with Python - Calculating Number of Weights of DNN Solution
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Information Technology (IT), Architecture
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The video tutorial explains the structure of a neural network's input hidden layer, detailing the number of inputs and the calculation of trainable parameters. It covers the breakdown of parameters for different neurons and concludes with a total count of 35 trainable parameters.
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5 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the total number of inputs coming from the input layer?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
How many inputs do three of the neurons have?
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4.
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3 mins • 1 pt
How many trainable parameters does the last neuron have?
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5.
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3 mins • 1 pt
What is the total number of trainable parameters calculated?
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