Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to TensorFlow: Introduction to TensorFlow

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to TensorFlow: Introduction to TensorFlow

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the number of classes in the Caltech data set?

128

1024

512

256

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the size of the Caltech data set compare to the Imagenet data set?

Caltech is twice the size of Imagenet

Caltech and Imagenet are the same size

Caltech is smaller than Imagenet

Caltech is larger than Imagenet

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in training a CNN on the Caltech data set?

Report the validation accuracy

Split the data into validation and training sets

Add more convolutional layers

Upload data to Google Colab

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Where can you upload the data to run your CNN model?

Google Colab

IBM Cloud

Microsoft Azure

Amazon Web Services

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it recommended not to build a very deep CNN for CPU training?

It will be hard to train

It will require more data

It will be too expensive

It will not be accurate