how to run ai programs in graham
Published 4 years ago • 1K plays • Length 38:01Download video MP4
Download video MP3
Similar videos
-
45:18
running machine learning example (mnist) on multi-cores/nodes in graham
-
55:11
training neural networks with hundreds of gpus on graham and cedar
-
2:07
job submission basics
-
48:25
deep learning on sharcnet: best practices
-
4:55
graham supercomputer
-
47:36
deep learning at sharcnet: tools you can use
-
9:10
ai and cloud computing with chris morgan
-
14:30
with ai, anyone can be a coder now | thomas dohmke | ted
-
2:00
crestron: how to get started in 2023 & 2024
-
49:39
new user seminar
-
1:05:11
halopsa 2.152 (latest stable) and ai changes
-
45:11
deep learning on sharcnet: from cpu to gpu cluster
-
48:26
using multiple gpus in tensorflow
-
2:20
how to time your code
-
21:13
intro to intel performance tools
-
46:49
machine learning using jupyter notebooks on graham
-
36:45
partitions and scheduling, running jobs effectively on graham and cedar
-
40:42
10 ways to optimize your workflow
-
50:23
debugging on graham with ddt
-
55:01
transfer learning with tensorflow hub
-
45:46
diy local program installation
-
48:14
introduction to jupyter