Search Header Logo
Evaluate the accuracy of an artificial intelligence system : Implement a DNN Based Multi-Class Classification with MXNet

Evaluate the accuracy of an artificial intelligence system : Implement a DNN Based Multi-Class Classification with MXNet

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers the creation of a deep neural network with three hidden layers using the maxnet library. It explains how to prepare and split the fashion dataset into training and testing sets using the caret package. The tutorial details the conversion of training data into predictors and the construction of the neural network with specific layers and activation functions. It also discusses the training process, model evaluation, and the implementation of the model on testing data to make predictions, highlighting the model's accuracy and robustness.

Read more

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which libraries are used for building the deep neural network architecture?

PyTorch and Scikit-learn

MaxNet and Carrot

Theano and Lasagne

TensorFlow and Keras

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using the 'createDataPartition' function from the caret package?

To split the data into training and testing sets

To visualize the data

To augment the data

To normalize the data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the training data converted into a matrix form?

To enhance data security

To improve data visualization

To facilitate mathematical operations

To reduce the data size

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many neurons are defined in the first hidden layer?

256

64

512

128

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What activation function is used in the first hidden layer?

Tanh

Sigmoid

ReLU

Softmax

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the softmax function in the model?

To convert logits to probabilities

To normalize input data

To initialize weights

To reduce overfitting

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many iterations are set for training the model?

30

40

20

10

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?