may, 2021
05may9:30 am12:00 pmDeep Learning by Example on Biowulf - Class #2
Event Details
The class is free but registration is required. You can register at https://hpc.nih.gov/nih/classes/ This introductory course teaches the basics of deep learning and of different types of deep learning networks through
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Event Details
The class is free but registration is required.
You can register at https://hpc.nih.gov/nih/classes/
This introductory course teaches 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. Class #2 will focus on Recurrent and 1D-Convolutional neural networks as applied to prediction of the function of non-coding DNA.
Expected knowledge: Basic Python, Basic Linux/Unix.
This class is part of a series, but each class is stand-alone. The class will be webcast and recorded. Handouts will be made available one day prior to the class.
Instructor: Gennady Denisov (NIH HPC staff)
Time
(Wednesday) 9:30 am - 12:00 pm
Location
Online
Organizer
HPC BiowulfNIH High Performance Unix Cluster Biowulfstaff@hpc.nih.gov