Deep Learning is a subset of Machine Learning where we Train Machines based on Large Datasets and using some advanced Machine Learning Frameworks. We will discuss some fundamental and most important concepts of Deep Learning here.
Introduction: The Big Question Every new data scientist wonders: “If Machine Learning (ML) works well, why do we need Deep Learning (DL)?” At first glance, ML algorithms like Random Forest, SVM, and Linear Regression seem powerful enough. But when you encounter real-world problems like: You quickly realize: Traditional ML falls short. In this article, we’ll break down:✔ Where ML … Read more
Introduction to Neural Network Architectures When we talk about deep learning, we have to talk about layers. If you’re familiar with Artificial Neural Networks (ANNs), you know they follow this basic structure: Inputs → Hidden Layers → Outputs Now, to build these neural networks, we have two main approaches (plus a third advanced method called Model Subclassing, but we’ll focus on the … Read more