| Title |
AI with Deep Learning |
| Abstract |
Deep learning comprises a set of methods for Machine Learning and Artificial Intelligence, based on the use of multilayer neural networks to carry out learning. Deep learning techniques can identify patterns in data even within large data sets, and often require substantial computational resources for training model parameters and making predictions. The Frontera supercomputer at the Texas Advanced Computing Center (TACC) is built to support large computational workloads such as those involved with deep learning. Software packages such as TensorFlow, Keras, and PyTorch are widely used to build deep learning pipelines. |
| Authors |
['Chris Myers'] |
| Expertise Level |
None |
| Learning Outcome |
None |
| Learning Resource Type |
asynchronous online training |
| Target Group |
['Researchers', 'Research groups', 'Student'] |
| Keywords |
['deep learning', 'machine learning', 'artificial intelligence', 'TensorFlow', 'TACC', 'Frontera', 'PyTorch', 'parallelism'] |
| Cost |
None |
| Duration |
240 |
| Language |
en |
| License |
None |
| Resource URL Type |
URL |
| Start Datetime |
None |
| URL |
https://cvw.cac.cornell.edu/DeepLearning |
| Version Date |
2023-06 |
| Provider ID |
urn:ogf.org:glue2:access-ci.org:resource:cider:infrastructure.organizations:898 |
| Rating |
None |
