Detecting hidden but non-trivial problems in transfer learning models using Amazon SageMaker Debugger

Favorite Rapid development of deep learning technology has produced an abundance of open-sourced, pre-trained models in computer vision and natural language processing. As a result, transfer learning has become a popular approach in deep learning. Transfer learning is a machine learning technique where a model pre-trained on one task is

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Shared by AWS Machine Learning November 20, 2020

Helping small businesses deliver personalized experiences with the Amazon Personalize extension for Magento

Favorite This is a guest post by Jeff Finkelstein, founder of Customer Paradigm, a full-service interactive media firm and Magento solutions partner. Many small retailers use Magento, an open-source ecommerce platform, to create websites or mobile applications to sell their products online. Personalization is key to creating high-quality ecommerce experiences,

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Shared by AWS Machine Learning November 20, 2020

Incorporating your enterprise knowledge graph into Amazon Kendra

Favorite For many organizations, consolidating information assets and making them available to employees when needed remains a challenge. Commonly used technology like spreadsheets, relational databases, and NoSQL databases exacerbate this issue by creating more and more unconnected, unstructured data. Knowledge graphs can provide easier access and understanding to this data

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Shared by AWS Machine Learning November 18, 2020

Store output in custom Amazon S3 bucket and encrypt using AWS KMS for multi-page document processing with Amazon Textract

Favorite Amazon Textract is a fully managed machine learning (ML) service that makes it easy to process documents at scale by automatically extracting printed text, handwriting, and other data from virtually any type of document. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of

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Shared by AWS Machine Learning November 18, 2020

Extracting handwritten information through Amazon Textract

Favorite Over the past few years, businesses have experienced a steep rise in the volume of documents they have to deal with. These include a wide range of structured and unstructured text spread across different document formats. Processing these documents and extracting data is labor-intensive and costly. It involves complex

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Shared by AWS Machine Learning November 14, 2020