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What is weinre?

Weinre, which is pronounced like "winery" or "weiner," stands for WEb INspector REmote and functions as a debugging tool for web pages, akin to FireBug for Firefox and the web inspector available in WebKit browsers, but it is specifically tailored for remote debugging on mobile devices such as smartphones. Developed at a time when no remote debugging solutions were available for mobile platforms, weinre has set the stage for more recent tools that various platforms now incorporate into their development offerings. It employs user interface components from WebKit's web inspector project, making it easily recognizable for those familiar with Safari's web inspector or Chrome's Developer Tools. Generally, the client application is initiated in a desktop or laptop browser while the targeted web page is viewed on a mobile device, facilitating smooth debugging. Importantly, weinre functions entirely through standard JavaScript without depending on any native code in the browser, ensuring widespread compatibility and user-friendliness. This remote debugging capability has become essential for developers creating web applications designed for mobile users, solidifying weinre's position as a crucial asset in the web development toolkit. Additionally, its simplicity and effectiveness have helped it maintain relevance even as newer debugging solutions have emerged.

What is Amazon SageMaker Debugger?

Improve machine learning models by capturing real-time training metrics and initiating alerts for any detected anomalies. To reduce both training time and expenses, the training process can automatically stop once the desired accuracy is achieved. Additionally, it is crucial to continuously evaluate and oversee system resource utilization, generating alerts when any limitations are detected to enhance resource efficiency. With the use of Amazon SageMaker Debugger, the troubleshooting process during training can be significantly accelerated, turning what usually takes days into just a few minutes by automatically pinpointing and notifying users about prevalent training challenges, such as extreme gradient values. Alerts can be conveniently accessed through Amazon SageMaker Studio or configured via Amazon CloudWatch. Furthermore, the SageMaker Debugger SDK is specifically crafted to autonomously recognize new types of model-specific errors, encompassing issues related to data sampling, hyperparameter configurations, and values that surpass acceptable thresholds, thereby further strengthening the reliability of your machine learning models. This proactive methodology not only conserves time but also guarantees that your models consistently operate at peak performance levels, ultimately leading to better outcomes and improved overall efficiency.

Media

Media

Integrations Supported

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Autodesk A360
Change Healthcare Data & Analytics
Google Chrome
Keras
MXNet
Mozilla Firefox
PyTorch
TensorFlow

Integrations Supported

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Autodesk A360
Change Healthcare Data & Analytics
Google Chrome
Keras
MXNet
Mozilla Firefox
PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

people.apache.org/~pmuellr/weinre/docs/latest/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/debugger/

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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