Parallelverarbeitung und Cloud
Trainieren Sie tiefe Netze auf mehreren Grafikkarten, Clustern und Clouds mithilfe von Parallel Computing Toolbox™. Skalieren Sie Deep Learning mit mehreren Grafikkarten lokal oder auf Clustern und trainieren Sie mehrere Netze interaktiv oder in Batch-Jobs Informationen zu den Optionen finden Sie unter Scale Up Deep Learning in Parallel, on GPUs, and in the Cloud.
Themen
- Scale Up Deep Learning in Parallel, on GPUs, and in the Cloud
Explore options for deep learning with MATLAB® in parallel and using multiple GPUs, locally or in the cloud.
- Deep Learning with Big Data
Train deep neural networks using large amounts of data.
- Run Experiments in Parallel
Run multiple simultaneous trials or one trial at a time on multiple workers. (Seit R2020b)
- Deep Learning with MATLAB on Multiple GPUs
Speed up deep neural network training using multiple GPUs locally or in the cloud.
- Run Custom Training Loops on a GPU and in Parallel
Speed up custom training loops by running on a GPU, in parallel using multiple GPUs, or on a cluster.
- Resolve GPU Memory Issues
Troubleshoot errors when MATLAB cannot allocate the requested GPU memory.
- Deep Learning in the Cloud
Access MATLAB in the cloud for deep learning.
- Work with Deep Learning Data in the Cloud
Example workflows for uploading data to the cloud.
- Cloud AI Workflow Using the Deep Learning Container
Example workflows for training, importing data, and optimizing a deep neural network in the cloud using the Deep Learning Container.