Loss function in AI and Deep learning Loss function in AI and Deep Learning measures how correctly your AI model predicts the expected outcome. We use different loss functions for regression analysis and classification analysis. Let us understand through a simple example. Consider you have created an AI model to predict whether the student fits […]

Before we start with the activation function, let us quickly learn about a model. The article is a little longer because it has examples to make it simple for you to understand.   What is a model? A model consists of 3 parts – input, actions on the input, and desired output. We have input; […]

What is Image Classification? Image classification means assigning labels to an image based on a predefined set of classes. Practically this means that our task is to analyze an input image and return a label that categorizes the image. That label is always from a predefined set of possible categories. For example – Check here. […]

What is image classification? Image classification means assigning labels to an image based on a predefined set of classes. Practically, this means that our task is to analyze an input image and return a label that categorizes the image. The label is always from a predefined set of possible categories. For example, let’s assume that […]

Artificial Intelligence is not a concept of now, but of the ancient Greek times. The inanimate object can come to life is not just a concept in sci-fi movies, but is much older than you can imagine. There are myths of mechanical men and robots in ancient Greek and Egypt. However, John McCarthy coined the […]

In your mind, how many times have you asked yourself: What is artificial intelligence? Let’s begin with a very simple analogy to understand Artificial Intelligence. Working with AI is as good as parenting a child. Consider a pretty baby girl is born to a cute couple. When she is born, she knows nothing. The parents […]