Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Overview of Horovod features and concepts for government use
- Understanding the supported frameworks
Installing and Configuring Horovod for Government
- Preparing the hosting environment for government systems
- Building Horovod for TensorFlow, Keras, PyTorch, and Apache MXNet in a secure government setting
- Running Horovod in compliance with government standards
Running Distributed Training for Government Applications
- Modifying and running training examples with TensorFlow for government projects
- Modifying and running training examples with Keras for government initiatives
- Modifying and running training examples with PyTorch for government operations
- Modifying and running training examples with Apache MXNet for government tasks
Optimizing Distributed Training Processes for Government Efficiency
- Running concurrent operations on multiple GPUs in a government context
- Tuning hyperparameters to enhance performance for government workflows
- Enabling performance autotuning to support government objectives
Troubleshooting for Government Users
Summary and Conclusion
Requirements
- An understanding of Machine Learning, with a focus on deep learning techniques
- Familiarity with machine learning libraries such as TensorFlow, Keras, PyTorch, and Apache MXNet
- Experience in Python programming
Audience for Government
- Developers
- Data Scientists
7 Hours
