azure-navod-trenink-vlastnich-ml-modelu
所属分类：论文
开发工具：Jupyter Notebook
文件大小：656KB
下载次数：0
上传日期：2021-12-30 16:41:13
上 传 者：
sh-1993
说明： 微软学生培训中心项目的毕业论文
(Graduation thesis for the Microsoft Student Trainee Center programme)
文件列表:
Návod - trénink vlastních ML model_ v Azure.ipynb (64915, 2021-12-31)
control-script.py (2339, 2021-12-31)
img (0, 2021-12-31)
img\azportal_logs.png (291170, 2021-12-31)
img\azportal_metrics.png (93394, 2021-12-31)
img\cifar10_classes.jpg (178023, 2021-12-31)
img\mlstudio_workflow.jpg (67977, 2021-12-31)
img\mlstudio_workflow.png (69763, 2021-12-31)
src (0, 2021-12-31)
src\training-script.py (2299, 2021-12-31)
# Navod jak trenovat vlastni ML modely v Azure.
Naroky na trenovani modelu strojoveho uceni dnes casto prevysuji vypocetni vykon osobnih pocitacu. Cilem teto prace je vytvorit celistvy navod jak na cloudove platforme Azure vlastni modely trenovat a monitorovat.
Absolventska prace programu Microsoft Studentske Trenerske Centrum
# Practical guide on how to train your ML models in Azure.
Today's computational requirements for training machine learning models often exceed capabilities of personal computers. The goal of this work is to create a comprehensive guide on how to train and monitor models created in TensorFlow or PyTorch.
Graduation thesis for the Microsoft Student Trainee Center programme
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