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課程簡介
介紹
- Horovod 功能和概念概述
- 了解支援的框架
安裝和設定 Horovod
- 準備託管環境
- 為 TensorFlow、Keras、PyTorch 和 Apache MXNet 構建 Horovod
- 運行 Horovod
運行分散式訓練
- 使用 TensorFlow 修改和運行訓練範例
- 使用 Keras 修改和運行訓練範例
- 使用 PyTorch 修改和運行訓練範例
- 使用 Apache MXNet 修改和運行訓練範例
優化分散式訓練流程
- 在多個GPU上運行 併發操作
- 調整超參數
- 啟用性能自動調整
故障排除
總結和結論
最低要求
- 了解機器學習,特別是深度學習
- 熟悉機器學習庫(TensorFlow、Keras、PyTorch、Apache MXNet)
- Python程式設計經驗
觀眾
- 開發人員
- 數據科學家
7 時間:
客戶評論 (5)
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
Very flexible
Frank Ueltzhöffer
Course - Artificial Neural Networks, Machine Learning and Deep Thinking
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to Deep Learning
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Course - Advanced Deep Learning
examples based on our data