AI on the go with Jetson Nano Quiz Answer Cisco

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AI on the go with Jetson Nano

Use the new and powerful Jetson Nano developer kit in this course and run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. Build your own IoT application with ML capabilities using Tensorflow.

Go to this Course: AI on the go with Jetson Nano

COURSE CURRICULUM

Introduction to TensorFlow on Jetson Nano
Simple Flower Classification by ANN
Image Classification on Jeston Nano
Quiz

AI on the go with Jetson Nano Practice Quiz Answer Cisco

Question 1)
Which deep learning libraries did we use?

Spark
PyTorch
Tensorflow
All the above

Question 2)
Which are applications of neural nets?

Image recognition
Self-driving cars
Automated translation
Blockchain Ledger maintenence

Question 3)
What is TensorFlows main application?

To find out unique Algorithms
For Machine Learning & Deep Neural Networks
To Find out how many crumbs are in a tootsie pop
To find out what a cpu and gpu is

Question 4)
_________ type of model, the algorithm learns from a dataset which is labelled, and the algorithm uses the answer keys to evaluate its accuracy on the training data

UnSupervised learning
Supervised learning
Reinforcement learning
none of the above

Question 5)
What is TensorFlows Backend?

Python/Java
Javascript/HTML
C/C++
C#

Question 6)
Which are components of neural nets?

Inputs and Hidden layers
Activation function
Database Layers
Machine Learning Blocks

Question 7)
Every Artificial Neural must have at least ______

two layers
three layers
four layers
none of the above

Question 8)
In this type of model, the algorithm learns and makes sense by extracting features/patterns from the unlabelled dataset provided (The system will evaluate by itself)

Reinforcement learning
Supervised learning
Unsupervised learning
None of the above

Question 9)
Which is true of an activation function?

The output is a probability
A common one is called a sigmoid function which produces a sigmoid or s-curve
It introduces a non-linear property to the network.
All of the above

Question 10)
Which is true of the perceptron?

It is based on a brain neuron.
It was the first neural network model
Every input data signal is weighted according to the relevance of each one.
All of the above