Question: Bob has trained a feedforward neural network that has 2 hidden layers and one output. The network does not use constant biases in any of

Bob has trained a feedforward neural network that has 2 hidden layers and one output. The network does not use constant biases in any of the layers. His colleague, Joe has been trying to modify the model. Joe has noticed that by adding a single neuron to the second hidden layer, the model needs to learn 10 new parameters (weights). Which of the following is correct about Bobs original model?
It had 10 neurons in the first hidden layer
It had 9 neurons in the second hidden layer
It had 10 neurons in the second hidden layer
It had 9 neurons in the first hidden layer

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