*AI on the go with Jetson Nano Quiz Answers* are provided in this article to help you in passing this cisco exam or you are stuck in a particular question then you can take help from here.

*AI on the go with Jetson Nano Quiz Answers*are provided in this article to help you in passing this cisco exam or you are stuck in a particular question then you can take help from here.

**AI on the go with Jetson Nano Practice ****Cisco**** Quiz Answers**

**AI on the go with Jetson Nano Practice**

**Cisco**

**Quiz Answers**

**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 Cisco Quiz Answers *

**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

**Also Check: Raspberry Pi and Python Cisco Quiz Answers!**

## Post a Comment