Author: Jason Brownlee Adding noise to an underconstrained neural network model with a small training dataset can have a regularizing effect and reduce overfitting. Keras […] Read More
Category: Machine Learning
Latest Machine Learning News
Author: 5 Machine Learning Resolutions for 2019 InformationWeek More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there […] Read More
Author: Machine learning could one day help figure out what gave you diarrhea The Verge Researchers led by Xiangyu Deng at the University of Georgia trained […] Read More
Author: Jennifer Chu | MIT News Office Small imperfections in a wine glass or tiny creases in a contact lens can be tricky to make […] Read More
Author: Jason Brownlee Training a neural network with a small dataset can cause the network to memorize all training examples, in turn leading to poor […] Read More
Author: Zygmunt Z. Go to Source
Author: Transportation Management And The Promise Of Machine Learning Forbes Transportation management systems (TMSs) have a proven ROI. The ARC Advisory Group is excited about the […] Read More
Author: Using machine learning to design peptides: New algorithm incorporates experimental data to find best sequences for peptides Science Daily Scientists have developed a way of […] Read More
Author: Jason Brownlee A problem with training neural networks is in the choice of the number of training epochs to use. Too many epochs can […] Read More
Author: A quantum machine learning algorithm based on generative models Science Advances Quantum computing and artificial intelligence, combined together, may revolutionize future technologies. A significant school […] Read More