Day 8 of #365DaysOfML Artificial neural networks are used in image recognition, speech recognition, machine translation, and medical diagnosis. #Datascience #MachineLearning #100DaysOfCode https://t.co/R6hWYdR2HK
https://pubmed.ncbi.nlm.nih.gov/35704370/ When you train your neural network on many related tasks (#EHR time-series prediction tasks) simultaneously, it trains faster and improves the AUROC #medicalinformatics #multitasklearning #deeplearning #machinelearning #healthcare #datascience
The new type of neural network could aid decision making in autonomous driving and medical diagnosis. #DataScience #MachineLearning https://hubs.ly/H0G0dc60
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation https://deepai.org/publication/doubleu-net-a-deep-convolutional-neural-network-for-medical-image-segmentation by @debesh_jha et al. #ImageNet #DataScience
Google developed Coral: a portable neural network accelerator. It will make it possible to use models locally without the need for cloud. Sending data to the cloud is a security risk for sensitive data (eg medical records). #MachineLearning #DataScience https://www.theverge.com/platform/amp/2020/1/14/21065141/google-coral-ai-edge-computing-products-applications-cloud?fbclid=IwAR1xGpoS5u-6qqSKDTBCztUlz5Os8KbFVg3aVTdHEXM1nQmEzvkvubv5BmU
Explanation of the neuron of an Artificial Neural Network| Open Data Science https://www.opendatascience.com/blog/neural-networks-1-the-neuron/ #DataScience https://t.co/IOzNoGv1wL
