API contract Windows.AI.MachineLearning.MachineLearningContract (已於 v1.0 引進) 範例 下列範例會載入模型,並為其建立評估會話。 C# 複製 private async Task LoadModelAsync(string _modelFileName) { LearningModel _model; LearningModelSession _session; try { // Load and create the model var model...
Learn how Azure Machine Learning enables you to scale out a scikit-learn training job using elastic cloud compute resources (v2).
API. To call any of our functions, just sign up for an API key and follow the guidelines as described on theTechnical Details. Please note that the API provides a limited number of calls (1000 per day). If you require more calls consider using theDatumbox Machine Learning Frameworkinstead....
PoseNet最大的模型在6MB左右,相比Vision框架提供的姿势识别,直接使用模型来做会比较麻烦,但是Vision框架也有局限性,其姿势识别的API是在iOS 14之后引入的,如果要支持更低的版本,还是需要我们自己来实现。 首先观察下PoseNet模型在Xcode中的介绍,我们主要专注在输入输出部分: 其中输入部分比较简单,为图片数据。输出部分我们...
Interact with Azure Machine Learning Work with data Automated Machine Learning Train a model Work with foundation models Use Generative AI Responsibly develop & monitor Orchestrate workflows using pipelines Deploy for inferencing Endpoints for inferencing Serverless API endpoints Online endpoints (real-time)...
Copy the Prediction API URL To finish, selectGot it!. Now, you have a machine learning model that can discern whether an image contains a polar bear, and you have a URL and API key to invoke the model. The next step is to invoke the model each time an image is uploaded to...
This is a high level API for using machine learning models in OpenMM simulations. With just a few lines of code, you can set up a simulation that uses a standard, pretrained model to represent some or all of the interactions in a system. ...
Machine learning Create intelligent features and enable new experiences for your apps by leveraging powerful on-device machine learning. Learn how to build, train, and deploy machine learning and AI models into your iPhone, iPad, Vision Pro, Mac, and Apple Watch apps. ...
This tutorial will show you how to create, train, and evaluate a Model using Sensei Machine Learning API calls.
TensorFlow was originally developed by researchers and engineers working within the Machine Intelligence team at Google Brain to conduct research in machine learning and neural networks. However, the framework is versatile enough to be used in other areas as well. ...