Project Neural Network

Project Neural Network

Assessment

Interactive Video

Engineering, Information Technology (IT), Architecture

University

Hard

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The video tutorial explains how to use Keras with TensorFlow to build a neural network for classifying handwritten digits. It covers the installation of necessary libraries, data preparation, and preprocessing. The tutorial demonstrates building a simple neural network using the Sequential Model API, training it, and evaluating its performance. It also discusses adding hidden layers to improve accuracy and analyzing predictions using a confusion matrix.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the role of the activation function in a neural network?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the process of training a neural network and what an epoch means.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is a confusion matrix and how is it useful in evaluating a model?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the impact of adding a hidden layer to the neural network.

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