InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Hosted on MSN

Local response normalization (LRN) in deep learning – simplified!

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...
24/7 Wall St

XRP Social Sentiment Hits “Extreme Negativity”—A Historical Setup for a Reversal?

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...
GitHub

stjordanis/riemannian-batch-normalization

See https://arxiv.org/abs/1709.09603 for details. [2GPUs] pyhon3 train.py --model=resnet --depth=40 --widen_factor=10 --optimizer=adamg --grassmann=True --learnRate=0 ...
GitHub

batch-normalization

Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during ...
Frontiers

A multi-view multimodal deep learning framework for Alzheimer's disease diagnosis

Introduction: Early diagnosis of Alzheimer's disease (AD) remains challenging due to the high similarity among AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, as well as ...
IEEE

A Hybrid Stochastic-Binary Computing Batch Normalization Engine for Low-Power On-Chip Learning Spiking Neural Networks

Abstract: Batch normalization (BN) has proven to be a critical component in speeding up the training of deep spiking neural networks in deep learning. However, conventional BN implementations face ...
Scientific Research Publishing

Li, X., Jiang, M., Zhang, X., Kamp, M. and Dou, Q. (2021) FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. arXiv: 2102.07623v2.

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
CNN

Scientists say they cruised the ocean in a deep-sea submersible and came across an undiscovered ecosystem

Marine researchers exploring extreme depths say they have discovered an astonishing deep-sea ecosystem of chemosynthetic life that’s fueled by gases escaping from fractures in the ocean bed. The ...