Andy Gillai-andy-gill.hashnode.dev·Dec 17, 2024Sigmoid is Softmax (specialized to 0)Today, I discovered that the sigmoid function is equivalent to softmax when applied to two inputs, with one input fixed to zero. With almost a decade of experience in machine learning, and earlier work in compute for signal processing, I had never co...AI
Sujit Nirmalblackshadow.hashnode.dev·Nov 10, 2024What is an Activation Function?In a neural network, an activation function decides if a neuron should be activated based on the sum of its inputs and weights. This process adds non-linearity to the network, allowing it to learn from non-linear data and solve complex problems like ...activation-layer
Vamshi Avamshi.co·Sep 16, 2024Step-by-Step Guide to Logistic Regression for ClassificationWhat is Classification? When it comes to Machine Learning, the 2 most commonly used algorithms are Linear and Logistic Regression. In this article I'm going to explain the second most commonly used machine learning algorithm - Logistic Regression. In...logistic regression
K Ahameddatailm.hashnode.dev·Jan 14, 2024Unveiling Neural Networks: A Comprehensive Guide from Layers to ApplicationsNeural networks, the cornerstone of artificial intelligence, operate as interconnected systems inspired by the human brain. Let's delve into the key components of neural networks, understand their roles, challenges, and explore their wide-ranging app...Artificial Intelligenceneural networks
Mohan Kumarshmohsvlog.hashnode.dev·Jul 13, 2023Demystifying Logistic RegressionIn the realm of machine learning and statistical modeling, logistic regression is a powerful algorithm used for binary classification problems. It allows us to predict the probability of an event occurring based on a set of input variables. Whether y...11 likeslogistic regression
