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signalsandthreads.com
| | sirupsen.com

[AI summary] An educational guide explaining how to build a neural network from scratch using Python, covering concepts like layers, gradient descent, autograd, and activation functions.
5.3 parsecs

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| | kavita-ganesan.com

This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. regression), their constituent parts (and how they contribute to model accuracy), and which tasks they are designed to learn.
4.3 parsecs

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| | seanzhang.me

Walkthrough of writing a SGEMM kernel that achieves 95% of cuBLAS performance
6.6 parsecs

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| | curatedsql.com

[AI summary] This article discusses the transition from SQL databases to Fabric Data Warehouses, explores Elasticsearch's k-nearest neighbors search capabilities, and covers various SQL Server topics including logging, error handling, and configuration.
14.4 parsecs

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