Advanced AI Concepts Simplified
Certain AI terms or AI concepts look very difficult or advanced but if looked at from a different perspective, they are very easy to understand.
1. Neural Networks – Imagine a brain that is filled with nodes, now each node is connected and has a certain type of weight. The learner shifts these nodes to derive a solution to a given problem.
2. Recurrent Neural Networks – It is a network that remembers past information as well and it uses the previous data to make more accurate decisions.
3. Transfer learning – Suppose you trained a model in a specific task, now you want to give it a new task but similar to the previous one without any training. This is called transfer learning because you are transferring the previous task’s learning to a new but related one.
4. Explainable AI – AI technology is rapidly evolving and thus we need a technology to understand other systems. Due to the complex nature of machinery, Explainable AI helps us understand these systems better.
5. Autoencoders – One of the basic AI concepts that looks tough to understand but it’s very simple. They repress data and then expand them later on by reconstructing it. It helps to pay attention to the minute details and then expand the data all over again.
50 AI Terms Every Beginner Should Know
Artificial Intelligence (AI) is a rapidly evolving field with numerous terms and concepts that may seem difficult to beginners. Whether you’re just starting your journey into AI or looking to expand your knowledge, There are many AI terms beginners should know.
In this blog post, we’ll explore 50 AI terms that every beginner should know, demonstrating the terminology and providing a solid foundation for further exploration in the field.
Table of Content
- Introduction to AI Terminology
- Why Understanding AI Terms is Crucial?
- Essential AI Terms and Definitions
- Advanced AI Concepts Simplified