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Study at SLU
Student life
Student for a day
Alumni stories
Student stories
Our campuses
Study campaigns
Discover science
Agriculture
Biodiversity
Climate and bioenergy
Domestic and wild animals
Eutrophication and acidification
Food and health
Forest and wood
Hazardous substances
Horticulture
Rural areas
Urban areas and landscapes
Water and fish
Operational areas
Environmental assessment
Research
Collaboration
Education
Event
SLU Global
GCUA
Academic ceremonies
Internal
Dissertations
Manuals
SLUSS
Channels
Manuals
SLU Studio
Machine Learning Part 1
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Samuel Coulbourn Flores
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Machine Learning Part 1
MNIST hand-written digit classification.
Samuel Coulbourn Flores
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