The portmanteau is overdue

A Holistic Benchmark for Software Engineering

Musk is now worth $1.11tn according to the Bloomberg rich list, while SpaceX listed on the Nasdaq stock exchange with a value of $2.2tn.

i just put half my savings in XRP. my plan is to let it sit till either xrp is 10-20 or pop or sell it in 5-10 years down the road. whats ur guys opinion on this? was it a smart move compared to buying btc and or eth? im a bit nervous cuz 5k was alot but I heard the clarity act is gonna pass soon and ripple has big plans with XRP. give me ur guys opinions and insight please! submitted by /u/Extra-Specialist-601 [link] [Kommentare]

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]