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 ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
IEEE

Hybrid Deep Learning Model for Enhanced Brain Tumor Classification Using VGG19, LSTM, and SVM Algorithms

Abstract: Brain tumors are an important worldwide health issue, contributing to high rates of morbidity and mortality. Their early detection is vital for enhancing patient outcomes; yet, it remains a ...
IEEE

FDA-STAP by Shrinkage Algorithm Under Range Ambiguity for Limited Training Samples

Abstract: When airborne radar detects targets, space-time adaptive processing (STAP) performs a vital role in clutter rejection. As is known, clutter rejection is limited by range ambiguity. With ...
GitHub

EdgeTrain: Automated Resource Adjustment for Efficient Edge AI Training

EdgeTrain is a Python package designed to dynamically adjust deep learning training parameters and strategies based on CPU and GPU performance. It optimizes the training process by adjusting batch ...