Author: Jason Brownlee A Gentle Introduction to the Innovations in LeNet, AlexNet, VGG, Inception, and ResNet Convolutional Neural Networks. Convolutional neural networks are comprised of […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Kim Martineau | MIT Quest for Intelligence Smartphones, security cameras, and speakers are just a few of the devices that will soon be running […] Read More
Author: Artificial intelligence and machine learning move to the edge Utility Dive We often associate artificial intelligence (AI) and machine learning (ML) with exotic applications – […] Read More
Author: /u/AutoModerator Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More
Author: Matt Mayo Editor Now is your chance to break into AI, even if you don’t have a PhD. If you want a job in […] Read More
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Author: William Vorhies Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths […] Read More
Author: Theory meets application: Machine learning techniques for geothermal exploration Phys.Org When Jing Yang, assistant professor of electrical engineering, began looking for practical applications to her […] Read More
Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More
Author: Jason Brownlee Convolutional layers in a convolutional neural network summarize the presence of features in an input image. A problem with the output feature […] Read More