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Fundamentals of Neural Networks - Lab 3 - Introduction to Neural Network

Fundamentals of Neural Networks - Lab 3 - Introduction to Neural Network

Assessment

Interactive Video

•

Computers

•

9th - 10th Grade

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

This video tutorial covers the basics of neural networks using Keras and TensorFlow. It begins with an introduction to neural networks and the Keras API, followed by data preparation using the FashionMNIST dataset. The tutorial then guides viewers through building a simple neural network architecture, compiling and training the model, and evaluating its performance. It concludes with experimentation and tuning of the model's parameters to optimize performance.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of using Keras and TensorFlow in the context of neural networks?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the Fashion MNIST dataset and its relevance to computer vision.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the significance of rescaling the image data in neural network training.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the role of the activation function in a neural network, and why is ReLU commonly used?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the softmax function contribute to multi-class classification in neural networks?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some common optimization algorithms used in training neural networks?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

How can changing the number of epochs affect the performance of a neural network?

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