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Training Deep Learning Models on Ad Data [2025 Strategy]

dev.to·1d·

Discuss: DEV

🧠Deep Learning

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

dev.to·1d·

Discuss: DEV

🧠Deep Learning

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B2 L2 U2 F2 U2 R2 U B2 F2 D2 F' D' R2 U2 R' U' R2 B' F2 L' F

metafilter.com·17h

Improving Deep Learning Library Testing with Machine Learning

arxiv.org·4d

🧠Deep Learning

Adventures in Guix Packaging

nemin.hu·16h·

Discuss: Lobsters, Hacker News

hsutter/cppfront: A personal experimental C++ Syntax 2 -> Syntax 1 compiler

github.com·2d·

Discuss: r/cpp

Tip of the Week #234: Pass by Value, by Pointer, or by Reference?

abseil.io·15h

Teon Demonstrates Improved Pre-Training With Language Models Up To 1B Parameters

quantumzeitgeist.com·2d

🧠Deep Learning

Sequential Attention: Making AI models leaner and faster without sacrificing accuracy

research.google·3d·

Discuss: Hacker News, r/LocalLLaMA

🧠Deep Learning

What should I program?

jamesmcm.github.io·5h

How Controlling the Variance can Improve Training Stability of Sparsely Activated DNNs and CNNs

arxiv.org·2d

🧠Deep Learning

Why Penguins Don't Build Nests in Trees and Why That Matters for AI

erikzaadi.com·2h

🧠Deep Learning

In (highly contingent!) defense of interpretability-in-the-loop ML training

lesswrong.com·1d

🧠Deep Learning

Naughty is Nice!

yamlscript.org·1d

Is Your Machine Learning Pipeline as Efficient as it Could Be?

kdnuggets.com·2d

🧠Deep Learning

ML-LIB: Machine Learning Library Proposed For The Linux Kernel

phoronix.com·1d·

Discuss: Hacker News

🧠Deep Learning

"Pure Virtual Function Called": An Explanation

artima.com·15h

nick-black.com·4d

Getting started with GSL - GNU Scientific Library on Windows, macOS and Linux

solarianprogrammer.com·15h

reddit.com·17h·

Discuss: Reddit

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