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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Autoencoder for Anomaly Detection

By: TIBCO Software Inc. Latest Version: v1

Product Overview

This algorithm uses a neural network built in Tensorflow to predict anomalies from transaction and/or sensor data feeds. The model outputs predictions and reconstruction errors for the observations that highlight potential anomalies. Using an adjustable lower order basis representation of the space, the model includes 2 hidden layers and default 0.01 learning rate for minimizing loss on a RMS objective function.

Key Data

By TIBCO Software Inc.
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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