neural network – Page 18 – Andrew Fairless, Ph.D.

What I Read: How Computationally Complex Is a Neuron?

By Andrew Fairless on September 27, 2021September 21, 2021

https://www.quantamagazine.org/how-computationally-complex-is-a-single-neuron-20210902/ How Computationally Complex Is a Single Neuron?by Allison Whitten “Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to thinkContinue readingWhat I Read: How Computationally Complex Is a Neuron?

What I Read: Learning Neural Network Subspaces

By Andrew Fairless on September 20, 2021September 4, 2021

https://arxiv.org/abs/2102.10472 Learning Neural Network SubspacesMitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari “These neural network subspaces contain diverse solutions that can be ensembled, approaching the ensemble performance ofContinue readingWhat I Read: Learning Neural Network Subspaces

What I Read: Graph Theory Into New Dimensions

By Andrew Fairless on September 16, 2021September 4, 2021

https://www.quantamagazine.org/how-big-data-carried-graph-theory-into-new-dimensions-20210819/ How Big Data Carried Graph Theory Into New DimensionsStephen OrnesContributing WriterAugust 19, 2021 ““Now we know that the network is just the shadow of the thing,”… If a dataContinue readingWhat I Read: Graph Theory Into New Dimensions

What I Read: Systems for Machine Learning

By Andrew Fairless on September 14, 2021August 20, 2021

https://thegradient.pub/systems-for-machine-learning/ Systems for Machine LearningKabir Nagrecha14.Aug.2021 “Machine learning’s increasing importance to real-world applications brought awareness of a new field focused on ML in practice – machine learning systems (or, asContinue readingWhat I Read: Systems for Machine Learning

What I Read: Advances in TF-Ranking

By Andrew Fairless on August 31, 2021August 17, 2021

https://ai.googleblog.com/2021/07/advances-in-tf-ranking.html Advances in TF-RankingTuesday, July 27, 2021 Posted by Michael Bendersky and Xuanhui Wang, Software Engineers, Google Research“LTR models — unlike standard classification models that classify one item at aContinue readingWhat I Read: Advances in TF-Ranking

What I Read: demystifying graph deep learning

By Andrew Fairless on August 30, 2021August 17, 2021

https://ericmjl.github.io/essays-on-data-science/machine-learning/graph-nets/ An attempt at demystifying graph deep learningEric Ma “There are a ton of great explainers of what graph neural networks are. However, I find that a lot of themContinue readingWhat I Read: demystifying graph deep learning

What I Read: Multi-task Prediction of Organ Dysfunction

By Andrew Fairless on August 25, 2021August 17, 2021

https://ai.googleblog.com/2021/07/multi-task-prediction-of-organ.html Multi-task Prediction of Organ Dysfunction in ICUsThursday, July 22, 2021 “Applying machine learning (ML) to electronic health records (EHRs) has shown promise in predicting clinical outcomes. However, many ofContinue readingWhat I Read: Multi-task Prediction of Organ Dysfunction

What I Read: Not Optimized By Jax, PyTorch, or Tensorflow

By Andrew Fairless on August 24, 2021August 17, 2021

Useful Algorithms That Are Not Optimized By Jax, PyTorch, or Tensorflow Useful Algorithms That Are Not Optimized By Jax, PyTorch, or TensorflowJuly 21 2021Christopher Rackauckas “It turns out that forContinue readingWhat I Read: Not Optimized By Jax, PyTorch, or Tensorflow

What I Read: Why Deep Learning Works

By Andrew Fairless on August 23, 2021August 17, 2021

https://moultano.wordpress.com/2020/10/18/why-deep-learning-works-even-though-it-shouldnt/ Why Deep Learning Works Even Though It Shouldn’tRyan Moulton’s ArticlesRyan Moulton “Stop talking about minima…. Nobody ever trains their model remotely close to convergence…. What really needs further researchContinue readingWhat I Read: Why Deep Learning Works

What I Read: AI-Generating Algorithms, Evolutionary RL

By Andrew Fairless on August 19, 2021July 22, 2021

https://youtu.be/FJJpmxO2Ci8 GECCO2021 – wkspk105 – WS – EvoRL – AI-Generating Algorithms: A Unique Opportunity for the […]AI-Generating Algorithms: A Unique Opportunity for the Evolutionary RL Community (wkspk105, WS – EvoRL)JunContinue readingWhat I Read: AI-Generating Algorithms, Evolutionary RL

Tag: neural network