Neural Networks

Hyperparameter Tuning Hyperparameter Tuning refers to the process of optimizing the parameters that are set before the training process of a machine learning model. These parameters are not learned from the data directly, but instead are chosen manually or through a search method. The goal of hyperparameter tuning is to find the best combination of […]

Types of Activation Functions Activation functions play a crucial role in neural networks by determining the output of a neuron. They introduce non-linearity into the model, allowing the network to learn complex patterns. Below are some of the most commonly used activation functions in neural networks: Sigmoid Activation Function The sigmoid function is one of […]

Understanding the Sigmoid Function The Sigmoid Function is a mathematical function that plays an important role in Machine Learning, especially in Neural Networks. It is often used to introduce non-linearity into models, which helps them learn complex patterns in data. It is also known as logistic function. What is the Sigmoid Function? The sigmoid function […]

Types of Neural Networks Neural networks come in many different shapes and sizes, each designed to solve specific types of problems. While all neural networks share the same basic concept of interconnected neurons, they differ in their architectures and the tasks they are best suited for. In this tutorial, you’ll explore the most common types […]

Multilayer Neural Networks A multilayer neural network (MLP) is a type of artificial neural network that consists of multiple layers of nodes (also called neurons). It is a key concept in machine learning and deep learning, used to model complex patterns and solve tasks such as classification, regression, and pattern recognition. Here’s a breakdown of […]

Basics of Neural Networks Neural networks are a type of Artificial Intelligence (AI) that uses artificial neurons to learn and adapt. They are the foundation of many popular AI algorithms, such as ChatGPT, DeepSeek, Stable-Diffusion, etc. A neural network is a type of Machine Learning model inspired by the structure and functioning of the human […]