A naukri.com initiative
Medium
1w
306
Image Credit: Medium
Exploring the Differences: AI, Machine Learning, Deep Learning, and Neural Networks
- AI is the broad field that focuses on creating intelligent machines that can perform tasks that require human-like intelligence.
- Machine learning (ML) is a technique that allows computers to learn from data without being explicitly programmed for each task.
- Deep learning (DL) is a specialized type of machine learning that uses complex structures called neural networks.
- Neural networks are specific models designed to mimic how our brains work.
- Deep learning models excel at complex tasks such as speech recognition and image classification.
- Deep learning has revolutionized the way we analyze large data sets, opening up new possibilities in a variety of fields.
- The more data a deep learning model is given the more accurate it becomes at recognizing patterns and making predictions.
- Traditional neural networks may struggle to handle large data sets, however, deep learning models excel in processing large amounts of data efficiently.
- Training a deep learning model requires a lot of data and resources, while traditional neural networks can be trained faster with smaller datasets.
- AI is the big picture of intelligent machines, while neural networks and deep learning are the smart tools that focus on interpreting and processing data.
Read Full Article
18 Likes
For uninterrupted reading, download the app