Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning ...
IEEE

Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks

Abstract: As the computational demands driven by large model technologies continue to grow rapidly, leveraging GPU hardware to expedite parallel training processes has emerged as a commonly-used ...
GitHub

The missing tiktoken training code

A lightweight Rust library for training GPT-style BPE tokenizers. The tiktoken library is excellent for inference but doesn't support training. The HuggingFace tokenizers library supports training but ...
IEEE

Power System Transient Stability Prediction Based on Sample Pre-screening of SVM Algorithm and AdaBoost Algorithm

Abstract: As the stability problem of modern power systems is prominent, the stable operation of the power system is more and more popular in power system analysis. To solve the problem of imbalance ...