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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN PyTorch CIFAR10 Examp

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN PyTorch CIFAR10 Examp

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial demonstrates how to implement a deep neural network using PyTorch on the CIFAR-10 dataset. It covers importing necessary packages, downloading and exploring the dataset, transforming data into tensors, and batching it. The tutorial then defines a neural network model, sets up a training routine with an optimizer and scheduler, and finally runs validation and testing to evaluate accuracy. The tutorial emphasizes the importance of using appropriate schedulers and optimizers for efficient training.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of importing the 'transforms' module from Torch vision?

To handle data augmentation and preprocessing

To train the model

To evaluate the model

To visualize the dataset

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many classes does the CIFAR-10 dataset contain?

5

20

15

10

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the shape of an image in the CIFAR-10 dataset?

128x128x3

64x64x3

32x32x3

28x28x1

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which PyTorch class is used to create batches of data?

DataLoader

DataBatcher

BatchLoader

BatchProcessor

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What activation function is used after the first linear layer in the model?

Softmax

ReLU

Tanh

Sigmoid

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using dropout in the model?

To reduce the model's size

To prevent overfitting

To increase the model's complexity

To speed up training

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which optimizer is used in the training routine?

Adam

Adagrad

SGD

RMSprop

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