Question: Neural net parametrization. A feedforward neural net has an input layer with 1 0 nodes, followed by four hidden layers with 1 0 0 0

Neural net parametrization. A feedforward neural net has an input layer with 10 nodes, followed by four
hidden layers with 1000 nodes each, and an output layer with one node. Each layer is fully connected
to the previous layer. What is the total number of parameters, approximately? You may disregard the
offset term at each node (the b in the linear function) if you like.

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