Ai for everyone 2

Question 1

Deep Learning and Neural Networks

Answer 1

Deep Learning consists of artificial neural networks designed on similar networks as present in the human brain. The idea of ANN(Artificial Neural Network) in Deep Learning is based on the belief that human brain works by making the right connections, and this pattern can be imitated using silicon and wires in place of living neurons.

Question 2

Artificial Neural Network

Answer 2

Artificial Neural Networks (ANN) can be described as layers of software units called neurons (also called node), connected with different neurons in a layered manner. These networks transform data from one neuron to another neuron until they can classify it as an output. Neural network is again a technique to build a computer program that learns from data.

Question 3

Deep Learning

Answer 3

Deep learning is a branch of machine learning which is completely based on artificial neural networks, as neural network mimics the human brain so deep learning is also a kind of imitation of the human brain. In deep learning, we don’t need to explicitly program everything.

Question 4

What machine learning can do

Answer 4

1. Virtual Personal Assistant like Siri, Alexa, Google Home etc.
2. Predictions while commuting - like Traffic Forecasts on Google Maps.
3. Video Surveillance systems nowadays are powered by AI that makes it possible to detect crime before they happen.
4. Social Media Services
5. Email spam and malware filtering 6. Product recommendations
6. Online Fraud Detection

Question 5

What Machine Learning cannot doin

Answer 5

1. Any problems or questions which require social context.
2. Particularly with respect to text analytics, there are two main challenges. First is “Ambiguity” - this means that the same word can mean many things. Second is “Variability” - indicating the same thing can be said in many different ways.
3. Machine learning can’t solve ethical problem.

Question 6

Examples of deep learning

Answer 6

Automated Driving: Automotive researchers are using profound learning to robotically spot entities such as stop lights and traffic signals. In addition, deep learning is also used to detect pedestrians, reducing the incident of accidents.
* Aerospace and Defence: Identifying objects from satellites and locate safe and unsafe zones for troops is another area where Deep Learning is playing major role.
* Medical Research: Deep Learning is used by cancer researchers to automatically detect cancer cells.
* Industrial Automation: Deep learning is helping to improve worker safety around heavy machinery by automatically detecting when people or objects are within an unsafe distance from the machines.