recurrent – Page 3 – Andrew Fairless, Ph.D.

What I Read: Neural Text Generation

By Andrew Fairless on March 11, 2021March 7, 2021

https://lilianweng.github.io/lil-log/2021/01/02/controllable-neural-text-generation.html Controllable Neural Text GenerationJan 2, 2021Lilian Weng “How to steer a powerful unconditioned language model? In this post, we will delve into several approaches for controlled content generation withContinue readingWhat I Read: Neural Text Generation

What I Read: How Transformers work

By Andrew Fairless on March 9, 2021March 7, 2021

https://theaisummer.com/transformer/ How Transformers work in deep learning and NLP: an intuitive introductionNatural Language ProcessingNikolas AdaloglouDec 24, 2020 “In my opinion, transformers are not so hard to grasp. It’s the combinationContinue readingWhat I Read: How Transformers work

What I Read: Introduction to Graph Neural Networks

By Andrew Fairless on February 23, 2021April 3, 2021

https://blog.exxactcorp.com/a-friendly-introduction-to-graph-neural-networks/ Deep LearningA Friendly Introduction to Graph Neural NetworksMarketing, November 11, 2020 “Graph neural networks (GNNs) belong to a category of neural networks that operate naturally on data structured asContinue readingWhat I Read: Introduction to Graph Neural Networks

What I Read: AI for good, think form extraction

By Andrew Fairless on February 5, 2021January 10, 2021

http://jonathanstray.com/to-apply-ai-for-good-think-form-extraction To apply AI for good, think form extractionPosted on October 24, 2020 Author Jonathan Stray “Folks who want to use AI/ML for good generally think of things like buildingContinue readingWhat I Read: AI for good, think form extraction

What I Read: Transformer Architecture

By Andrew Fairless on January 21, 2021December 29, 2020

https://blog.exxactcorp.com/a-deep-dive-into-the-transformer-architecture-the-development-of-transformer-models/ Deep LearningA Deep Dive Into the Transformer Architecture – The Development of Transformer ModelsMarketing, July 14, 2020 0 11 min readTransformers for Natural Language Processing “There’s no better timeContinue readingWhat I Read: Transformer Architecture

What I Read: Progress of Natural Language Processing

By Andrew Fairless on January 5, 2021December 22, 2020

https://blog.exxactcorp.com/the-unreasonable-progress-of-deep-neural-networks-in-natural-language-processing-nlp/ Deep LearningThe Unreasonable Progress of Deep Neural Networks in Natural Language Processing (NLP)Marketing, June 2, 2020 0 14 min read “With the advent of pre-trained generalized language models, weContinue readingWhat I Read: Progress of Natural Language Processing

Tag: recurrent