Deep Ellum

Deep Ellum

Bibliographic Details
Main Author:	Brakefield
Format:	Electronic eBook
Language:	English
Published:	Texas A&M University Press
Subjects:	Electronic books
Online Access:	Full text available on Project MUSE [10/21/13] Off-campus access

Similar Items

Field Recordings
by: Brakefield

Deep Waters
by: Kishbaugh

Deep Waters
by: Teuton

Beasts of the Deep

Deep trouble /
by: Thompson, Lesley
Published: (2010)

Deep water /
by: Highsmith, Patricia, 1921-
Published: (1957)

Deep learning /
by: Goodfellow, Ian
Published: (2016)

Deep learning : foundations and concepts /
by: Bishop, Christopher M.
Published: (2024)

Macroevolution in Deep Time
by: Bose
Published: (2013)

Our Deep Gossip
by: Bram

Deep Map Country
by: Maher

Philology Broad and Deep
by: Birnbaum

Tracks in Deep Time
by: Milner

Deep in the Piney Woods
by: Brown

Spark from the Deep
by: Turkel

Deep learning with Python /
by: Chollet, François
Published: (2018)

Grokking deep learning /
by: Trask, Andrew W.
Published: (2019)

Introduction to deep learning /
by: Charniak, Eugene
Published: (2018)

Deep Learning for Testing and Testing for Deep Learning (DeepTest), IEEE/ACM Third International Workshop on

2021 IEEE/ACM Third International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest)

Deep work : rules for focused success in a distracted world /
by: Newport, Cal
Published: (2016)

Deep Roots of Fiscal Behavior /
by: Cevik, Serhan
Published: (2014)

Across the Deep Blue Sea
by: Lovoll

Plants of Deep South Texas
by: Richardson

Deep Woods, Wild Waters
by: Wood

Breadlines Knee-Deep in Wheat
by: Poppendieck

Canto hondo / Deep Song

Deep Time, Dark Times
by: Wood

Image recognition by deep learning
by: Mohiuddin, Karishma, et al.
Published: (2018)

Deep water rice in Bangladesh.
Published: (1974)

The narrow road to the deep north /
by: Flanagan, Richard, 1961-
Published: (2015)

Deep Learning and Machine Learning in Emerging Applications (Deep-ML), International Conference on

Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python /
by: Rivas, Pablo
Published: (2020)

2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML)

Decision Making under Deep Uncertainty
Published: (2019)

Our Roots Run Deep as Ironweed
by: Bell

Deep Underground Science and Engineering | Wiley

Proceedings of the Workshop on Deep Linguistic Processing

Weather forecasting using Deep Learning
by: Fahad, Sheikh Abdul, et al.
Published: (2023)

Deep Underground Science and Engineering | Wiley