Deep Ellum

Philology Broad and Deep
mā: Birnbaum

Spark from the Deep
mā: Turkel

Our Deep Gossip
mā: Bram

Deep Map Country
mā: Maher

Tracks in Deep Time
mā: Milner

Deep in the Piney Woods
mā: Brown

Creatures of the deep : in search of the sea's monsters and the world they live in /
mā: Hoyt, Erich
I whakaputaina: (2001)

Canto hondo / Deep Song

Deep Woods, Wild Waters
mā: Wood

Plants of Deep South Texas
mā: Richardson

Breadlines Knee-Deep in Wheat
mā: Poppendieck

Across the Deep Blue Sea
mā: Lovoll

Deep Time, Dark Times
mā: Wood

Diving deep, going far.
mā: Block, Menno De
I whakaputaina: (2018)

The narrow road to the deep north.
mā: Flanagan, Richard
I whakaputaina: (2014)

Deep care : the radical activists who provided abortions, defied the law, and fought to keep clinics open /
mā: Hume, Angela
I whakaputaina: (2023)

Proceedings of the Workshop on Deep Linguistic Processing

Our Roots Run Deep as Ironweed
mā: Bell

Deep Underground Science and Engineering | Wiley

Deep Brain Stimulation for Movement Disorders

Deep time reckoning : how future thinking can help earth now /
mā: Ialenti, Vincent
I whakaputaina: (2020)

Proceedings of the Workshop on Distributed Infrastructures for Deep Learning

Proceedings of the Workshop on Distributed Infrastructures for Deep Learning

A free nation deep in debt : the financial roots of democracy /
mā: Mcdonald, James
I whakaputaina: (2003)

A free nation deep in debt : the financial roots of democracy /
mā: Mcdonald, James
I whakaputaina: (2003)

Field Recordings
mā: Brakefield

Real-Time Image Processing and Deep Learning 2023

Real-Time Image Processing and Deep Learning 2021

Real-Time Image Processing and Deep Learning 2019

Proceedings of the 2017 International Conference on Deep Learning Technologies

Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning

Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition

Real-Time Image Processing and Deep Learning 2022

Real-Time Image Processing and Deep Learning 2020

The narrow road to the deep north and other travel sketches.
mā: Matsuo, Bashō
I whakaputaina: (1966)

Getting Started with Deep Learning in Circular Scanning Photoacoustic Tomography
mā: Pramanik, Manojit