书栈网 · BookStack 本次搜索耗时 0.027 秒,为您找到 1323 个相关结果.
  • Job Scheduling

    Job Scheduling Running jobs with gang-scheduling About volcano scheduler and gang-scheduling Troubleshooting Job Scheduling How to schedule a job with gang-scheduling This ...
  • 用不完整的线性自编码器执行 PCA

    用不完整的线性自编码器执行 PCA 如果自编码器仅使用线性激活并且损失函数是均方误差(MSE),则可以显示它最终执行主成分分析(参见第 8 章)。 以下代码构建了一个简单的线性自编码器,以在 3D 数据集上执行 PCA,并将其投影到 2D: import tensorflow as tf from tensorflow . contrib...
  • KFServing

    2385 2020-03-06 《Kubeflow 1.0 Document》
    KFServing Beta Install with Kubeflow Examples Sample notebooks Learn more Prerequisites KFServing installation using kubectl Use Contribute Feedback KFServing Model s...
  • Events Calendar

    1244 2020-03-06 《Kubeflow 1.0 Document》
    Events Calendar Feedback Events Calendar Events related to Kubeflow This is a nonexhaustive list of events (in reverse chronological order) with talks and workshops about Kub...
  • Job Scheduling

    Job Scheduling Running jobs with gang-scheduling About volcano scheduler and gang-scheduling Troubleshooting Job Scheduling How to schedule a job with gang-scheduling This ...
  • Machine Learning

    1349 2020-01-13 《Dask 2.9.1 Document》
    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...
  • 跟着例子学习 PyTorch

    跟着例子学习 PyTorch Tensors Warm-up: numpy PyTorch: Tensors Autograd PyTorch: Variables and autograd PyTorch: Defining new autograd functions TensorFlow: Static Graphs nn module...
  • Dockerfile Locations

    Dockerfile Locations Dockerfile Locations Where to find the Dockerfiles for all of Kubeflow’s images Image Name Dockerfile Location tf_operator https://github.com/kubeflow/tf-...
  • Dockerfile Locations

    Dockerfile Locations Dockerfile Locations Where to find the Dockerfiles for all of Kubeflow’s images Image Name Dockerfile Location tf_operator https://github.com/kubeflow/tf-...
  • FAQ

    Keras FAQ: Frequently Asked Keras Questions How should I cite Keras? How can I run Keras on GPU? How can I run a Keras model on multiple GPUs? Data parallelism Device parallelis...