A Neural Network consists of an Input Layer, Hidden Layer and an Output Layer. Which of the given options forms the important components of the Hidden Layer?Select an option Clear ResponseWeights and BiasesWeights and Input neuronBiases and Input neuronWeights and Output neurons

Which one of the following is First layer of Neural Network?Outer LayerHidden LayerInput LayerUpper LayerNone of above

What are the hidden layers of a feedforward neural network called?Select one:a.Input layersb.Hidden layersc.Output layersd.None of the above

What is learnt in a neural network?1 pointWeights and BiasesOnly weightsOnly biasesNone of the above

Which activation function is commonly used in the hidden layers of a neural network to introduce non-linearity?Group of answer choicesSigmoidLinearSoftmaxReLU

What is the input layer in the backpropagation algorithm?Select one:a.The layer that is not visible to the user and processes the input datab.The layer that receives the input data and passes it to the hidden layerc.The layer that produces the final output of the neural networkd.The layer that determines the activation function of the neural network