Describe a neural network : Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)

Describe a neural network : Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial introduces artificial and deep neural networks, explaining their biological basis and machine learning implementations. It covers the backpropagation algorithm for training neural networks and introduces common algorithms like perceptrons and multilayer perceptrons. The tutorial concludes with a brief overview of deep neural networks and future learning topics.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the biological components that form the basis of artificial neural networks?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the process of information transfer in a neuron.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What role do activation functions play in neural networks?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the backpropagation algorithm and how does it function?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the structure of a multilayer feedforward neural network.

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the differences between perceptrons and multilayer perceptrons?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

How do deep neural networks differ from basic neural networks?

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