🔗 Deep Learning - aibrain0x01 · Scour

A Model of Understanding in Deep Learning Systems ⚙️Transformers

arxiv.org·3d

Tensors — The Native Data Format of Deep Learning 🔥PyTorch

grahamjroy.medium.com·11h

From “Gears” to “Gradients”: A Deep Dive into How AI Actually Learns ✨Generative AI

medium.com·2d

milanm/AutoGrad-Engine: A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies 📝LLMs

github.com·16h·Hacker News

How a single deep learning breakthrough revolutionized computer vision and set the foundation for… 👁️Computer Vision

medium.com·4d

An application for training deep learning models in your browser 🔥PyTorch

statmodeling.stat.columbia.edu·17h

DeepFocus-BP: Error-Aware Adaptive Backpropagation via Dynamic Alpha-Beta Routing (Achieving 66% FLOPs Reduction with Improved Accuracy) 🧠Neuromorphic Computing

zenodo.org·6d·Hacker News

Why Your Deep Learning Model Won't Converge — A Deep Dive into Optimizers 🔥PyTorch

pub.towardsai.net

·5d

Siamese Neural Networks: A High-Precision Strategy for BFSD 🔥PyTorch

yv3nne.medium.com·6d

Internal noise in deep neural networks: interplay of depth, neuron number, and noise injection step 🧠Neuromorphic Computing

arxiv.org·3h

AI Basics: The Technology That Is Quietly Reshaping the World ⚖️AI Ethics

medium.com·6d

Spilling the Neural Tea: A Journey Down the Side-Channel 🧠Neuromorphic Computing

sigarch.org·3d·Hacker News

Neural Networks Explained with a Biryani: How Models Actually Learn 🔥PyTorch

ganeshkumarm1.medium.com·3d

CNNs Have a Design Flaw. Evolution Solved It 500 Million Years Ago! 🧠Neuromorphic Computing

medium.com

·6d

Implicit Regularization and Generalization in Overparameterized Neural Networks 🔥PyTorch

arxiv.org·3h

Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning 🧠Neuromorphic Computing

arxiv.org·1d

Comptime Feed Forward Neural Networks 🔥PyTorch

github.com·6d·r/Zig

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training 🧠Machine Learning

arxiv.org·3h

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers ⚙️Transformers

arxiv.org·3h

Stochastic Gradient Descent in the Saddle-to-Saddle Regime of Deep Linear Networks 🎨GANs

arxiv.org·1d

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