While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

An Introduction to different Types of Convolutions in Deep Learning

Paul-Louis Pröve

Dilated, transposed, and separable convolutions explained with informative animations.

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Writing Robust Tests for Data & Machine Learning Pipelines

Eugene Yan

An in-depth analysis of why certain types of tests break more frequently than others, along with suggestions for creating more robust pipeline tests.

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An intuition for Attention

Jay Mody

Developing an intuitive understanding of the key feature in the architecture of transformer neural networks.

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