march, 2020
12mar9:30 am12:00 pmDeep Learning by Example on BiowulfClass #4
Event Details
https://hpc.nih.gov/training/handouts/DL_by_Example4_20200312.pdf https://hpc.nih.gov/apps/biogans.html https://hpc.nih.gov/training/handouts/DL_Assignments4_20200312.pdf This introductory course will teach the basics of deep learning and of different types of deep learning networks through a set of hands-on biological examples implemented in Keras, one example
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Event Details
https://hpc.nih.gov/training/handouts/DL_by_Example4_20200312.pdf
https://hpc.nih.gov/apps/biogans.html
https://hpc.nih.gov/training/handouts/DL_Assignments4_20200312.pdf
This introductory course will teach the basics of deep learning
and of different types of deep learning networks
through a set of hands-on biological examples implemented in Keras,
one example per class. Each class is stand-alone. Class #4 will focus
on the Generative Adversarial Networks (GANs) and their application
to biological data synthesis.
Expected knowledge: Basic Python, Basic Linux/Unix
This class is part of a series, but each class is stand-alone.
Time
(Thursday) 9:30 am - 12:00 pm
Location
Online
Organizer
HPC BiowulfNIH High Performance Unix Cluster Biowulfstaff@hpc.nih.gov