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Latent Spaces & Autoencoders: The Evolution of Deep Learning
Deep dive into two-stage setups, loss functions, and the future of latent spaces. Explore VAEs, VQGAN, and the trade-offs between representation learning and reconstruction in modern deep learning.
Sources:
[1] https://openai.com/index/introducing-o3-and-o4-mini/
[2] https://sander.ai/2025/04/15/latents.html
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By Matthias LauDeep dive into two-stage setups, loss functions, and the future of latent spaces. Explore VAEs, VQGAN, and the trade-offs between representation learning and reconstruction in modern deep learning.
Sources:
[1] https://openai.com/index/introducing-o3-and-o4-mini/
[2] https://sander.ai/2025/04/15/latents.html