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What is Linguistics?
Nathan Schneider ENLP | 28 January 2019
https://people.cs.georgetown.edu/cosc572/s19/04_ling.pdf
Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning"

Paper by Frazier-Logue and Hanson: https://arxiv.org/abs/1808.03578

Stochastic Delta Rule implemented in Pytorch on DenseNet: https://github.com/noahfl/sdr-densenet-pytorch

#artificailintelligence #deeplearning #pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Slides by Jacob Devlin: https://nlp.stanford.edu/seminar/details/jdevlin.pdf

#NaturalLanguageProcessing #NLP #DeepLearning
Trump to launch ‘American AI Initiative’ later today: The initiative will redirect federal funding and resources towards AI research, as well as call for the creation of US-led international standards in AI, and new research into the retraining of American workers.

https://www.theverge.com/2019/2/11/18219981/american-ai-initiative-trump-administration-funding-research-data
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press: https://web.stanford.edu/~boyd/vmls/

#ArtificialIntelligence #LinearAlgebra #Vectors #Matrices #MachineLearning
Highly recommend MIT 6.S191: Introduction to Deep Learning Course by Alexander Amini and Ava Soleimany through Massachusetts Institute of Technology (MIT)

#artificialintelligence
#deeplearning
#machinelearning
#CNN
#vision

MIT Deep Learning Course 6.S191 https://www.linkedin.com/pulse/mit-deep-learning-course-6s191-bhagirath-kumar-lader
the Defense Department's new #AI strategy

"Harnessing AI to Advance Our Security and Prosperity": https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF

#artificialintelligence #defense #strategy
Modern Deep Learning Techniques Applied to Natural Language Processing
https://nlpoverview.com/index.html#disqus_thread
How to train U-Net for Medical 🏥 datasets
Using: Keras with backend Tensorflow and Conda environment.
Hardware: intel CPU

https://www.intel.ai/intel-neural-compute-stick-2-for-medical-imaging/
Distributed Reinforcement Learning


https://surreal.stanford.edu/