ANN with Arduino: Quiz 2

What connects neurons in an ANN block diagram?

• Resistors

• Weights

• Switches

• Filters

Which layer processes data between input and output?

• Hidden layer

• Start layer

• End layer

• Base layer

What’s the first step in an ANN’s working principle?

• Backward pass

• Error calculation

• Forward pass

• Weight update

Which activation function introduces non-linearity?

• Linear

• Constant

• Step

• Sigmoid

What adjusts weights during training?

• Backpropagation

• • Input data

• Output signals

• Random noise

What does the output layer produce in an ANN?

• Raw data

• Weights

• Errors

• Predictions

Which technique minimizes error in ANN training?

• Gradient descent

• Random sampling

• Fixed stepping

• Trial and error

What measures prediction error in ANN?

• Speed function

• Loss function

• Gain function

• Time function

Which ANN type excels at image processing?

• Convolutional

• Feedforward

• Recurrent

• Generative

What’s the role of bias in an ANN neuron?

• Shifts activation

• Speeds up computation

• Reduces weights

• Filters inputs