---
title: "Conditional Variational Autoencoders with Learnable Conditional Embeddings"
url: https://daily.dev/posts/conditional-variational-autoencoders-with-learnable-conditional-embeddings-iknwu1z61
source_url: https://towardsdatascience.com/conditional-variational-autoencoders-with-learnable-conditional-embeddings-e22ee5359a2a
type: article
source: "Towards Data Science"
published: 2024-01-08T21:12:38.239Z
updated: 2024-01-08T21:12:37.279Z
tags: ["python", "machine-learning", "deep-learning", "genai", "pytorch", "mnist"]
reading_time: 12
upvotes: 0
comments: 0
language: en
---

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# Conditional Variational Autoencoders with Learnable Conditional Embeddings

**[Towards Data Science](https://daily.dev/sources/tds)** · 12 min read · 0 upvotes · 0 comments

## Summary

This article discusses conditional variational autoencoders (CVAE) and introduces the concept of learnable conditional embeddings in CVAE models. It demonstrates how to implement and train a CVAE model with one-hot encoded conditions and compares it to a model with learnable embeddings. The article also explores the ability of the model to generate images of unseen digits and visualizes the latent space. The use of learnable embeddings is shown to be a useful alternative to one-hot encodings in CVAE models.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/conditional-variational-autoencoders-with-learnable-conditional-embeddings-e22ee5359a2a>

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---

Tags: [#python](https://daily.dev/tags/python), [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#genai](https://daily.dev/tags/genai), [#pytorch](https://daily.dev/tags/pytorch), [#mnist](https://daily.dev/tags/mnist)

[View this post on daily.dev](https://daily.dev/posts/conditional-variational-autoencoders-with-learnable-conditional-embeddings-iknwu1z61)
