Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning

Favorite Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening new possibilities with generative AI: large language models (LLMs) that synthesize natural language, text-to-image generators, and more. These increased capabilities of DNNs come with the

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Shared by AWS Machine Learning July 14, 2023

Predict vehicle fleet failure probability using Amazon SageMaker Jumpstart

Favorite Predictive maintenance is critical in automotive industries because it can avoid out-of-the-blue mechanical failures and reactive maintenance activities that disrupt operations. By predicting vehicle failures and scheduling maintenance and repairs, you’ll reduce downtime, improve safety, and boost productivity levels. What if we could apply deep learning techniques to common

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Shared by AWS Machine Learning July 6, 2023

Democratize computer vision defect detection for manufacturing quality using no-code machine learning with Amazon SageMaker Canvas

Favorite Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and company reputation. Quality inspection on the production line is crucial for maintaining quality standards. In many cases, human visual inspection is used to assess the

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Shared by AWS Machine Learning July 1, 2023