Adam Stirtanblog.adamstirtan.net·Jan 3, 2025Introducing NeuralNet.NET: A simple to use .NET library for Artificial Neural NetworksArtificial Neural Networks (ANNs) are a cornerstone of modern machine learning, enabling systems to learn from data and make intelligent decisions. However, implementing ANNs from scratch can be complex and time-consuming. That's where NeuralNet.Net ...neural networks
Abed Kaabidkarim.hashnode.dev·Dec 30, 2024Identifying and Removing Dead Neurons in Training Neural Networks: Mechanistic Interpretability Part 2My last blog explained how to correctly initialize the last softmax layer of a neural network to reduce high but incorrect confidence when predicting certain classes. It also covered how to achieve uniform logits, a proper probability distribution, a...2 likesneural networks
Ezaan Aminezaan.hashnode.dev·Oct 30, 2024A Brief Guide to Neural Networks: From Structure to Activation FunctionsOne of the key elements in Artificial Intelligence (AI) is the neural network. But what exactly is a neural network? In my blog “From Turing to ChatGPT 4: A Historical Odyssey of AI,” I delved into the history of AI, including the development of neur...AI
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 11, 2024Comprehensive Guide to the ReLU Activation Function in Neural Networks: Definition, Role, and Type ExplainedReLU stands for Rectified Linear Unit and is an activation function commonly used in artificial neural networks, especially in deep learning models. It's a simple but effective mathematical function that introduces non-linearity to the network's comp...319 readsDeep Learning
Akhil Soniakhilworld.hashnode.dev·Jul 28, 2024Activating Activation FunctionsIf the neural network is alive, it will think what is its purpose here or what is its goal in the world. The main goal of any neural network is to transform the non-linearly separable input data into more linearly separable abstract features using a ...neural networks
Sanika Nandpuresanikanandpure.hashnode.dev·May 19, 2024how to choose an activation functionNow that we've discussed several different activation functions, it is natural to ask--how do we choose which activation function to use? We will partially answer this question for now, and will fully answer it in a future post after the introduction...Activation Function
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Mar 4, 2024Unlocking the Power of GeGLU: Advanced Activation Functions in Deep LearningIntroduction Activation functions are key pieces in the world of deep learning. They introduce non-linearity into neural networks, enabling them to learn complex patterns and relationships in data. Today, we're going to explore a specific activation ...137 readsDeep Learning
Saurabh Naiksaurabhz.hashnode.dev·Feb 7, 2024Choosing the Right Spark: Unraveling the Dynamics of Sigmoid, Tanh, and ReLU in Neural NetworksIntroduction: In the intricate realm of deep learning, activation functions are the unsung heroes, shaping the behavior of neural networks. Each activation function brings its own set of characteristics, advantages, and pitfalls. In this blog post, w...Deep LearningArtificial Intelligence
Saurabh Naiksaurabhz.hashnode.dev·Feb 7, 2024Empowering Neural Networks: The Art and Science of Activation FunctionsIntroduction: Deep learning, the cornerstone of artificial intelligence, relies on complex neural networks to unravel patterns and make sense of vast datasets. At the heart of these networks lies a critical element called the activation function. In ...Deep LearningDeep Learning
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
