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Slack Data Engineering: Design and Architecture

Analytics Vidhya

The post Slack Data Engineering: Design and Architecture appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Ref :[link] Introduction: Slack is a communication platform. Users send.

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Jim Keller and his pioneering work on chip design and architecture

Hacker News

Here is a chronicle of chip designer Jim Keller’s journey, which spans four semiconductor architectures: x86, PowerPC, MIPS, and Arm.

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An open-source gymnasium for machine learning assisted computer architecture design

Google Research AI blog

Posted by Amir Yazdanbakhsh, Research Scientist, and Vijay Janapa Reddi, Visiting Researcher, Google Research Computer Architecture research has a long history of developing simulators and tools to evaluate and shape the design of computer systems. learning rate, warm-up steps, etc.).

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Using Neural Networks to Design Neural Networks: The Definitive Guide to Understand Neural Architecture Search

KDnuggets

A recent survey outlined the main neural architecture search methods used to automate the design of deep learning systems.

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Best Practices for Deploying & Scaling Embedded Analytics

Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.

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Accelerate Neural Network Training Using the Net2Net Method

Analytics Vidhya

Introduction Creating new neural network architectures can be quite time-consuming, especially in real-world workflows where numerous models are trained during the experimentation and design phase. In addition to being wasteful, the traditional method of training every new model from scratch slows down the entire design process.

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Transformer models: A guide to understanding different transformer architectures and their uses

Data Science Dojo

These refer to a type of neural network architecture that excels at tasks involving sequences. While we have talked about the details of a typical transformer architecture, in this blog we will explore the different types of the models. This concludes our exploration of architecture-based transformer models.