A direct optimization test was conducted on a neural network for MNIST image classification. The network features a 784-32-10 architecture with a total of 25,450 continuous parameters (weights and biases). Instead of employing backpropagation or gradient information, the parameters were optimized using MDP, a Derivative-Free Optimization method. ​The objective was to directly minimize the Cross-Entropy Loss on a subset of 5,000 training images. Final evaluations were performed on independent validation and test sets. ​In the best run, MDP achieved an objective loss of 0.0004083, a validation accuracy of 93.7%, and a test accuracy of 93.4%. These results outperform the baseline established by Adam, which achieved a final loss of 0.002945, a validation accuracy of 91.8%, and a test accuracy of 91.7% using the same network architecture. ​Notably, this optimization was successfully performed over a 25,450-dimensional search space, achieving convergence across 1,000,000 function evaluations without relying on gradients or population-based methods. ​The code for this test, along with other Python implementation examples, is available in the examples folder of the official project repository: https://github.com/misa-hdez/sgo-lab submitted by /u/Mis4318 [link] [Kommentare]

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Samsung Electronics is reportedly in talks to make a key portion of one of Google's most advanced future artificial intelligence chips. The deal would give the

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What is a sequential scan vs index scan vs parallel scan .... and what is a bitmap heap scan? Postgres scan types explained and diagrammed.

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🚨 JAILBREAK ALERT 🚨 ANTHROPIC: PWNED 🫡 FABLE-5: LIBERATED 🦋 let's start with the 🐘... the consensus seems to be that this has been one of the most disappointing model drops of all time, effectively preventing legitimate researchers from contributing their talents to our https://t.co/Z0vdPIt4vY

I’d like to learn about crypto and eventually invest, but I honestly have no idea where to start. I don’t have any knowledge about it or the tools to get into it yet. It kind of feels like expecting a kid who just started school to understand advanced math, or expecting someone who has never coded in their life to suddenly know a programming language. That’s not how it works you need to learn the basics first… or am I wrong? I’m genuinely asking. I’ve tried asking this on different social media platforms, but people often assume I already know the basics or got made fun of which makes it pretty frustrating And that’s exactly where I’m at right now. I literally know nothing about crypto except that it has something to do with investing and that’s it. So where should someone like me even begin? How would you go about teaching a complete beginner how to actually understand crypto and start investing? submitted by /u/Secret_Bug_9795 [link] [Kommentare]