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Simplifying the Image Classification Workflow with Lightning & Comet ML

Heartbeat

Today, I’ll walk you through how to implement an end-to-end image classification project with Lightning , Comet ML, and Gradio libraries. Using Lightning, you can automate your training tasks, such as model building, data loading, model checkpointing, and logging. This architecture is often used for image classification.

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Carl Froggett, CIO of Deep Instinct – Interview Series

Unite.AI

We subscribe to more than 50 feeds which we download files from to train our model. Once the repository is ready, we build datasets using all file types with malicious and benign classifications along with other metadata. What makes our model unique is it does not need data or files from customers to learn and grow.

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Build an image-to-text generative AI application using multimodality models on Amazon SageMaker

AWS Machine Learning Blog

For instance, in ecommerce, image-to-text can automate product categorization based on images, enhancing search efficiency and accuracy. CLIP model CLIP is a multi-modal vision and language model, which can be used for image-text similarity and for zero-shot image classification. is the script that handles any requests for serving.

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning Blog

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. After a blueprint is configured, it can be used to create consistent environments across multiple AWS accounts and Regions using continuous deployment automation.

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RPA 2.0: How to achieve the highest level of automation?

Dlabs.ai

They’re actively creating the future of automation in what’s known as Robotic Process Automation 2.0. Source: Grand View Research What is Robotic Process Automation (RPA)? let’s first explain basic Robotic Process Automation. used Robotic Process Automation 2.0 But that’s not all they’re doing. Happy reading!

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Managing Computer Vision Projects with Micha? Tadeusiak 

The MLOps Blog

What’s your approach to different modalities of classification detection and segmentation? If you have images and then the task is to do the classification, then there’s quite not too much information in a given image. What role have Auto ML models played in computer vision consultant capacity? Sabine: Oh yes.

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Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

AWS Machine Learning Blog

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.