Wednesday, July 21, 2021

How to Work with Autoencoders [Case Study Guide]

Autoencoders are a class of neural networks that are used in unsupervised learning tasks. They have two neural networks components: Encoder and Decoder. Both components have essentially the same configurations, which means that the shape of the input will be similar to the shape of the output, and also the input will be the same […]

The post How to Work with Autoencoders [Case Study Guide] appeared first on neptune.ai.



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TestDriven.io: Working with Static and Media Files in Django

This article looks at how to work with static and media files in a Django project, locally and in production. from Planet Python via read...