
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.
Product Overview
AutoML-Matrix is a proprietary self-learning Neural Network algorithm which can automatically build state-of-the-art classification models for data presented in a matrix (or tabular) form. Given a dataset, this algorithm determines the architecture of the Neural Net and then computes its parameters automatically, without the user having to provide the value of any hyperparameter (#layers, #neurons_per_layer, #learning_rate, e.t.c). This software automates the training pipeline by performing data pre-processing, feature engineering, model selection and hyperparameter optimization.
Key Data
Version | |
By | Deep Element |
Categories | |
Type | Algorithm |
Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
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Support Information
DeepElement AutoML-Matrix Algorithm
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Refund Policy
Deep Element will not refund payments made by you as the Service Fees for any reason whatsoever.