Hello Friends in this article i am gone to share Cisco thingQbator’s FREE Course: AI on the go with Jetson Nano Quiz Answer with you..

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**

**AI on the go with Jetson Nano Quiz Answer Cisco**

**Question 1)**

**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**

**Question 2)**

**_________ 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 3)**

**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 4)**

**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 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)**

**Which deep learning libraries did we use?**

- Spark
- PyTorch
**Tensorflow**- All the above

**Question 8)**

**Every Artificial Neural must have at least ______**

- two layers
**three layers**- four layers
- none of the above

**Question 9)**

**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