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What does a perceptron take as an input?
What is a significant limitation of early perceptrons?They could only handle linearly separable problemsThey could not handle vectorsThey could not accurately recognize digitsThey were expensive to operate
What is the purpose of the Sigmoid Neuron?
How does Gradient Descent work?By repetitive tuning of parameters to minimize a cost functionBy choosing random parametersBy calculating the product of the input vectorsBy dividing the input by the weight
Describe the term 'backpropagation'
How do neural networks 'learn'?Through a process of training and adjusting weights based on resultsBy being programmed with explicit rulesThrough a process of trial and errorBy being exposed to higher temperatures
What is overfitting in the context of Neural Networks?
What role does the bias neuron play in a Neural Network?Allows shifting of the activation functionDetermines the final outputIncreases the complexity of the modelHas no role
What does 'convolution' mean in the context of Convolutional Neural Networks?
Which are the common activation functions in a neural network?Sigmoid functionRelu functionTanh functionRSI functionMACD functionBollinger Band function