Remove 2010 Remove AWS Remove Deep Learning
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Reinventing a cloud-native federated learning architecture on AWS

AWS Machine Learning Blog

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to train a model with data from different regions, organizations, or AWS accounts. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets.

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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning Blog

It employs advanced deep learning technologies to understand user input, enabling developers to create chatbots, virtual assistants, and other applications that can interact with users in natural language. Version control – With AWS CloudFormation, you can use version control systems like Git to manage your CloudFormation templates.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). To address customers’ requirements about data privacy and sovereignty, SnapLogic deploys the data plane within the customer’s VPC on AWS.

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Share medical image research on Amazon SageMaker Studio Lab for free

Flipboard

The second notebook shows how the expert annotations that are available for hundreds of studies on TCIA can be downloaded as DICOM SEG and RTSTRUCT objects, visualized in 3D or as overlays on 2D slices, and used for training and evaluation of deep learning systems. Gang Fu is a Healthcare Solution Architect at AWS.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. Thirdly, the presence of GPUs enabled the labeled data to be processed.

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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning Blog

The service uses deep learning techniques to handle complex data patterns and enables businesses to generate accurate forecasts even with minimal historical data. In his role Igor is working with strategic partners helping them build complex, AWS-optimized architectures. Note we have two folders.

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Training YOLOv4 on Google Colab

Mlearning.ai

This puts paupers, misers and cheapskates who do not have access to a dedicated deep learning rig or a paid cloud service such as AWS at a disadvantage. In this article we show how to use Google Colab perform transfer learning on YOLO , a well known deep learning computer vision model written in C and CUDA.