Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #17
What is the primary function of an activation function in an artificial neural network?
What does the term "backpropagation" refer to in the context of training artificial neural networks?
Which of the following layers in an artificial neural network is responsible for reducing the dimensionality of the data?
In a feedforward neural network, what is the purpose of the "hidden layers"?
What is the role of "dropout" in training artificial neural networks?
In the context of artificial neural networks, what is "gradient descent" used for?
Which activation function is commonly used in the output layer of binary classification problems?
What does "overfitting" mean in the context of artificial neural networks?
Which optimization algorithm is commonly used to improve the training speed of artificial neural networks by adapting the learning rate?
In artificial neural networks, what is the purpose of a "loss function"?
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- This online test, titled "Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #17" is designed for individuals at the advanced level and focuses on "Artificial Neural Networks". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Artificial Neural Networks".