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Understanding ReLU Through Visual Python Examples
Using the ReLU Activation Function In the previous articles we used back‑propagation and plotted graphs to predict values correctly. All those examples employe...
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Starting from scratch: Training a 30M Topological Transformer
Article URL: https://www.tuned.org.uk/posts/013_the_topological_transformer_training_tauformer Comments URL: https://news.ycombinator.com/item?id=46666963 Point...
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From Words to Vectors: How Semantics Traveled from Linguistics to Large Language Models
Why meaning moved from definitions to structure — and what that changed for modern AI When engineers talk about semantic search, embeddings, or LLMs that “unde...
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Show HN: The Hessian of tall-skinny networks is easy to invert
It turns out the inverse of the Hessian of a deep net is easy to apply to a vector. Doing this naively takes cubically many operations in the number of layers s...
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Rethinking Learning Dynamics in AI Models: An Early Theory from Experimentation
Observing Representation Instability During Neural Network Training While experimenting with neural network training behaviors, I noticed a recurring pattern t...
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Reproducing DeepSeek's MHC: When Residual Connections Explode
Article URL: https://taylorkolasinski.com/notes/mhc-reproduction/ Comments URL: https://news.ycombinator.com/item?id=46588572 Points: 14 Comments: 6...
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🧠✂️ Neural Network Lobotomy: Removed 7 Layers from an LLM — It Became 30% Faster
An Experiment in Surgical Layer Removal from a Language Model I took TinyLlama 1.1 B parameters, 22 decoder layers and started removing layers to test the hypo...
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Teaching a Neural Network the Mandelbrot Set
And why Fourier features change everything The post Teaching a Neural Network the Mandelbrot Set appeared first on Towards Data Science....
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What I Learned Trying (and Mostly Failing) to Understand Attention Heads
What I initially believed Before digging in, I implicitly believed a few things: - If an attention head consistently attends to a specific token, that token is...
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Data Analyst Guide: Mastering Neural Networks: When Analysts Should Use Deep Learning
Data Analyst Guide: Mastering Neural Networks – When Analysts Should Use Deep Learning As a data analyst, you're likely familiar with the buzz surrounding neur...
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Global Attention Mechanism: Retain Information to Enhance Channel-SpatialInteractions
Overview Global attention helps computers see pictures better—without losing the details. By retaining information across the whole image, models can preserve...
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📊 2026-01-05 - Daily Intelligence Recap - Top 9 Signals
Today's analysis reveals a notable shift in Hacker News readership, with “The Most Popular Blogs of Hacker News in 2025” scoring 74.5 / 100 based on user‑engage...