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Issues with computing in a variational model
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Classroom Contents
Generating New Molecules Using Machine Learning and AI - Lecture 15
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- 1 Basic autoencoders
- 2 Variational autoencoders VAEs
- 3 VAEs from a probabilistic perspective
- 4 Information, entropy, and the KL divergence
- 5 Rewriting Bayes’ Law
- 6 Evidence lower bound
- 7 The opposing forces on a VAE
- 8 Issues with computing in a variational model
- 9 Structure of the latent space and b-VAEs
- 10 Generative Adversarial Networks GANs
- 11 A Junction tree VAE for small molecules
- 12 Using AI to identify candidate antibiotics
