榜单
服务器优惠
AI论文
-
Use Cases
Use Cases Deploying and managing a complex ML system at scale Experimentation with training an ML model End to end hybrid and multi-cloud ML workloads Tuning the model hyperpara... -
Margin
Margin Class reference Add margin to a single side Add horizontal margin Add vertical margin Add margin to all sides Negative margins Responsive Customizing Margin scale Ne... -
Margin
Margin Quick reference Basic usage Add margin to a single side Add horizontal margin Add vertical margin Add margin to all sides Using negative values Applying conditionally... -
Margin
Margin Quick reference Basic usage Add margin to a single side Add horizontal margin Add vertical margin Add margin to all sides Using negative values Applying conditionally... -
Use Cases
Use Cases Deploying and managing a complex ML system at scale Experimentation with training an ML model End to end hybrid and multi-cloud ML workloads Tuning the model hyperpara... -
Margin
Margin Class reference Add margin to a single side Add horizontal margin Add vertical margin Add margin to all sides Negative margins Responsive Customizing Margin scale Ne... -
Machine Learning
Dask-ML What does this offer? How does this work? Parallelize Scikit-Learn Directly Reimplement Scalable Algorithms with Dask Array Partner with other distributed libraries Sc... -
Scroll Margin
Scroll Margin Quick reference Basic usage Setting the scroll margin Using negative values Applying conditionally Hover, focus, and other states Breakpoints and media queries ... -
KMeans
KMeans 1. 算法介绍 Mini-batch KMeans 2. 分布式实现 on Angel 模型存储 模型更新 算法逻辑 3. 运行 & 性能 参数 性能 4. 参考文献 KMeans KMeans是一种简单的聚类算法，将数据集划分为多个簇，K为簇的个数。传统的KMeans算法，有一定的性能瓶颈，通过PS实现的KMea... -
Overview of Kubeflow Fairing
Overview of Kubeflow Fairing Out of date Beta Getting started What is Kubeflow Fairing? Next steps Overview of Kubeflow Fairing Build, train, and deploy your ML training j...