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Neural Networks for Absolute Beginners
Introduction If you’ve ever wondered how machines can recognize faces, translate languages, or even generate art, the secret sauce is often neural networks. Do...
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Neuro-Symbolic AI: The “Holy Grail” of Artificial Intelligence
What is Neuro-Symbolic AI? Traditional AI can be divided into two main approaches: Neural Networks Sub‑symbolic AI - Excellent at pattern recognition, percepti...
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The Illustrated Transformer
Article URL: https://jalammar.github.io/illustrated-transformer/ Comments URL: https://news.ycombinator.com/item?id=46357675 Points: 38 Comments: 8...
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The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel
'Here is a short, clear excerpt, written in your style and suitable for Medium or Towards Data Science:
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Backpropagation in Deep Learning: A Complete, Intuitive, and Practical Guide
markdown !Nishanthan Khttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2F...
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AI and Machine Learning: The Futnewsure of Intelligent Automation
The AI Revolution in Automation Artificial Intelligence and Machine Learning are revolutionizing automation by enabling systems to learn, adapt, and make intel...
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Anansi’s Web as Neural Architecture: From Folklore to Framework
Panel 1: Anansi’s Mythic Web In West African folklore, Anansi spins webs of story and deception—structured, intentional, and rule‑bound. Each strand is a choic...
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An Intro to Large Language Models and the Transformer Architecture: Talking to a calculator
> “All models are wrong, but some are useful.” > — George E. P. Box Overview Large language models LLMs are essentially structured sets of numerical parameters—...
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Decentralized Computation: The Hidden Principle Behind Deep Learning
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decen...
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9 Best Resources to Learn Machine Learning (from a FAANG Interview Journey)
When I started learning machine learning ML, I was overwhelmed. The field felt like a vast ocean — dense with math, theory, frameworks, and best practices. I re...
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Understanding Overfitting in Neural Networks (TensorFlow- CNN)
Understanding Overfitting in Neural Networks and Techniques to Prevent It Using Fashion‑MNIST Experiments Overfitting is a fundamental challenge when developin...
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The universal weight subspace hypothesis
Article URL: https://arxiv.org/abs/2512.05117 Comments URL: https://news.ycombinator.com/item?id=46199623 Points: 204 Comments: 75...