課程大綱： Distributed Deep Learning with Horovod培訓(xùn)
Introduction
Overview of Horovod features and concepts
Understanding the supported frameworks
Installing and Configuring Horovod
Preparing the hosting environment
Building Horovod for TensorFlow, Keras, PyTorch, and Apache MXNet
Running Horovod
Running Distributed Training
Modifying and running training examples with TensorFlow
Modifying and running training examples with Keras
Modifying and running training examples with PyTorch
Modifying and running training examples with Apache MXNet
Optimizing Distributed Training Processes
Running concurrent operations on multiple GPUs
Tuning hyperparameters
Enabling performance autotuning
Troubleshooting
Summary and Conclusion
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