榜单
服务器优惠
AI论文
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Training
Training Chainer Training MPI Training MXNet Training PyTorch Training TensorFlow Training (TFJob) Training Training of ML models in Kubeflow Chainer Training See Kube... -
基础示例：线性回归
基础示例：线性回归 基础示例：线性回归 与前面的NumPy和Eager Execution模式不同，TensorFlow的Graph Execution模式使用 符号式编程 来进行数值运算。首先，我们需要将待计算的过程抽象为数据流图，将输入、运算和输出都用符号化的节点来表达。然后，我们将数据不断地送入输入节点，让数据沿着数据流图进行计算和流动，最终... -
开始
开始 开始 查看如下指南可对 TensorFlow 程序有个简要的概览： 初识 TensorFlow MINIST 是实验新的机器学习工具的经典数据集。我们提供了三篇指南，每篇介绍了一种不同的方法在TensorFlow 上训练 MNIST 模型。 MNIST-机器学习初学者 ，通过高级 API 介绍了 MNIST。 MNIST-机器学习专... -
7.4.2. NDK native app
Call WasmEdge functions from an NDK native app Prerequisite Android Android development CLI Android NDK Review of source code Build Install dependencies Compile Run Push fi... -
TFJob v1beta2
TFJob v1beta2 TFJob Common TFJob TensorFlow TFJob v1beta2 Reference documentation for version v1beta2 of the TFJob custom resource. TFJob Common Reference documentation ... -
1.1. Install and uninstall
Install and uninstall WasmEdge Quick install Install for all users Install a specific version of WasmEdge What’s installed Uninstall Install WasmEdge for Node.js Install a... -
使用SavedModel完整导出模型
使用SavedModel完整导出模型 使用SavedModel完整导出模型 在部署模型时，我们的第一步往往是将训练好的整个模型完整导出为一系列标准格式的文件，然后即可在不同的平台上部署模型文件。这时，TensorFlow为我们提供了SavedModel这一格式。与前面介绍的Checkpoint不同，SavedModel包含了一个TensorFlow程... -
6.2.1. YoMo
YoMo Prerequisite The image classification function Integration with YoMo In action What’s next YoMo YoMo is a programming framework enabling developers to build a distri... -
4-4 Mechanisms of the AutoGraph
4-4 Mechanisms of the AutoGraph 1. Mechanisms of Autograph 2. Scrutinize the Coding Rules of Autograph Again 4-4 Mechanisms of the AutoGraph There are three ways of construct... -
MLeap Documentation
What is MLeap? Why MLeap? Portable Models Spark, Scikit-learn and Tensorflow: One Runtime Common Serialization Seamless Integrations Open Source What is MLeap? MLeap is...