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Diedre M Sorenson

Diedre M Sorenson

@diedre
United States

12 Contenus publiés

26 AESS BOG Meeting May 3-4, 2013  Ottawa, Canada PPT
AESS BOG Meeting May 3-4, 2013 Ottawa, Canada

AESS BOG Meeting May 3-4, 2013 Ottawa, Canada. Larry Chasteen VP Membership. Membership Agenda. Membership overview - Larry Chasteen Chapters - Erik Blasch Student Activities - Bob Rassa GOLD Activities – Cosimo Stallo Undergraduate Student - Chris Cullen

279 vues
7 DNR Grazing Lands Study Proposed Final Report PPT
DNR Grazing Lands Study Proposed Final Report

DNR Grazing Lands Study Proposed Final Report. Joint Legislative Audit & Review Committee Linda Byers September 14, 2005. State Trust Lands Used for Grazing. Washington owns some 850,000 acres of trust lands used for grazing About half used primarily for grazing

98 vues
26 Compliance Audit Readiness for 2017 PPTX
Compliance Audit Readiness for 2017

Compliance Audit Readiness for 2017. Jennifer Chung, Esq. Vice President, Senior Compliance Officer. September 21 , 2016. The Affordable Care Act § 4980H Pay or Play Refresher. The Affordable Care Act – 2016 §4980H Pay or Play Mandate Review. Review of §4980H Pay or Play Mandate

296 vues
11 Higher Close Reading PPTX
Higher Close Reading

Higher Close Reading. Supported Study. 3. Show how the writer’s use of language in lines 15–20 conveys the Victorians’ disgust at the city they had created. You should refer in your answer to such features as imagery, word choice, sentence structure . . . 4A. Lines 15-20

142 vues
25 Threads PPT
Threads

Threads. CS 6560: Operating Systems Design. Threads. Thread of execution: stack + registers (which includes the PC) Informally: where an execution stream is currently at in the program and the routine call chain that brought the stream to the current place

270 vues
31 Neural networks (3) PPTX
Neural networks (3)

Neural networks (3). Regularization Autoencoder Recurrent neural network. Goodfellow , Bengio , Courville , “Deep Learning” Charte , “A practical tutorial on autoencoders for nonlinear feature fusion” Le, “A tutorial on Deep Learning”. More on regularization.

405 vues