Page 120 - Artificial Intellegence_v2.0_Class_11
P. 120
Task
Check out the website https://lipsync.withyoutube.com/
An AI-powered challenge that rates how closely your lip-syncing matches the song! This experiment uses
Google’s AI technology TensorFlow.js. The TensorFlow model provides a real-time high-density estimate of key
points of your facial expression using only a webcam. Through machine learning in your browser, the key points
around the mouth and lips are analysed to estimate how well you synchronize to the lyrics of the song!
Deep Learning
Deep learning is a subset of machine learning that teaches computers to do what humans do naturally. It is the
key technology used in voice control devices such as driverless cars, mobile phones, tablets, etc. In deep learning,
a machine is trained with huge amount of data which helps it in training itself around the data. Such machines
are intelligent enough to develop algorithms for themselves. Deep learning is the most advanced form of Artificial
Intelligence. Machine learning is intermediately intelligent and Artificial Intelligence covers all the concepts and
algorithms which, in some way or the other mimic human intelligence.
There are a lot of applications of AI out of which few are those which come under machine learning out of which very
few can be labelled as deep learning. Thus, not everything that is machine learning will be deep learning.
Artificial Intelligence
Any technique that enables computers
to imitate human intelligence. It includes machine
learning
Machine Learning
A subset of AI that includes techniques that
enable machines to improve at performing tasks with
experience. It includes deep learning also
Deep Learning
A subset of machine learning based on
neural networks that permit a machine to
train itself to perform a task
Most deep learning methods use neural network architectures, which is why deep learning models are often referred
to as deep neural networks. The term “deep” usually refers to the number of hidden layers in the neural network.
Traditional neural networks only contain 2–3 hidden layers, while deep networks can have as many as 150. Deep
learning models are trained by using large sets of labelled data and neural network architectures that learn directly
from the data without the need for manual intervention.
118 Touchpad Artificial Intelligence (Ver. 2.0)-XI

