Page 181 - AI Ver 3.0 class 10_Flipbook
P. 181
• Object Classification: ML model learns to identify and name objects in images and videos. For example, if
you show it pictures of animals like cats and dogs, it learns what each looks like. Later, when you give it a new
picture, it can tell whether it’s a cat or a dog.
Labelled Data
Model
Training Prediction
Dog
Cat
Labels
Cat Dog
Cat Frog Dog Test Data
DL
DL stands for Deep Learning. It is a subset of Machine Learning inspired by the structure and function of neurons
in the human brain, leading to the development of Artificial Neural Networks (ANNs). Deep Learning involves
implementing neural networks to process high-dimensional data, extract meaningful insights, and provide
solutions to complex problems.
In the hierarchy of Artificial Intelligence (AI), AI represents the broader field, with Machine Learning (ML) as a
subset, and Deep Learning (DL) as a further specialised subset of ML. While ML focuses on algorithms to learn
from data, DL represents the next evolution of ML. DL is capable of handling large datasets and complex tasks with
multi-layered neural networks.
Input Layer Hidden Layers Output Layer
Advanced Concepts of Modeling in AI 179

