Deep Learning CNN Convolutional Neural Networks with Python - DNN Architecture Solution

The video tutorial explains the structure of a neural network, focusing on the input, hidden, and output layers. It highlights the presence of two hidden layers and details the number of inputs, including the bias, for neurons in the second hidden layer.

What layers are mentioned as part of the neural network structure?

• Input layer, one hidden layer, and output layer

• Input layer, two hidden layers, and output layer

• Two input layers and one output layer

• Three hidden layers and one output layer

How many hidden layers are identified in the neural network?

• One hidden layer

• Two hidden layers

• Three hidden layers

• No hidden layers

Where are the hidden layers located in the neural network?

• At the beginning

• In the middle

• Throughout the network

• At the end

How many total inputs does each neuron in the second hidden layer receive?

• Four inputs

• Five inputs

• Seven inputs

• Six inputs

What additional input is included for each neuron in the second hidden layer?

• A second bias

• A bias input

• A direct output connection

• An extra hidden layer