These might be of interest, particularly the second, " Data Management Best Practices for Groups."
On 4/8/19, 1:14 PM, "Hoover, David (NIH/CIT) [E]" <[email protected]> wrote: Classes are free but registration is required. Both classes will be Webcast, and HPC users will have priority enrollment for classroom attendance. *Deep Learning by Example on Biowulf - Class #1* Date: Tuesday 23 April 2019 Time: 10 am - noon Instructor: Gennady Denisov (NIH HPC staff) Location: Bldg 12A, Rm B51 This introductory course will teach the basics of deep learning and of different types of deep learning networks through a set of hands-on examples from biomedical image processing and computational genomics implemented in Keras, one example per class. Each class is stand-alone. Class #1 will focus on Convolutional Neural Networks. Expected knowledge: Basic Python, Basic Linux/Unix *Data Management Best Practices for Groups* Date: Wednesday 24 April 2019 Time: 9 am - noon Instructor: David Hoover (NIH HPC staff) Location: Bldg 12A, Rm B51 An overview of file storage, access permissions, file transfer, and sociological behaviors to keep your collaborative group functioning. Expected knowledge: Linux/Unix Registration is required for both Webcast or Classroom attendance. You can register at https://hpc.nih.gov/nih/classes/ ######################################################################## Please contact [email protected] with any questions about the NIH HPC Systems
