DEEP LEARNING – A REVOLUTION OF ARTIFICIAL INTELLIGENCE
WHAT IS DEEP LEARNING ?
Deep Learning is a technique that makes the system to perform like the way humans solve problems and make decisions. It is a subset of Machine learning. It uses the concept of Neural networks.
TYPES OF DEEP LEARNING
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
WHAT IS CONVOLUTIONAL NEURAL NETWORK ?
Convolutional Neural Network is used for object detection ,image classification and facial recognition. CNN is mainly used with images. Example :Image classification of Autonomous vehicles
WHAT IS RECURRENT NEURAL NETWORK ?
Recurrent Neural Network uses sequential data. The output depends on the previous layer input so the speed of computation is slow. RNN is used for text and videos.
Example : Sentiment Analysis in Social Media and to predict the next word in the sequence the user must have the knowledge of previous words used.