Intro to Deep Learning
Machine Learning VS Deep Learning
- As the shape of data increases the ML models cannot able to capture its underlying patterns but deep learning algorithms capture the complex relationship very well.
- ML algorithms uses different techniques to learn patterns from data like linear line, spliting criteria, etc. but Perceptron is the building block of DL algorithms which helps to capture almost every patterns of the data.
Perceptron
Perceptron the building block of Deep Learning.