Today we address one of the most basic components of generative AI – a good, old-fashioned autoencoder.
We have TWO KEY RESOURCES for you:
- “When a Classifier Acts as an Autoencoder …” – a very useful blogpost, and
- Chapter 9: “The Hopfield Neural Network and the Restricted Boltzmann Machine: Two Energy-Based Neural Networks.”
For some quick YouTubes, you might consider:
References and Resources
This gives you the formal Chicago (Author-Date) style references for the two documents identified earlier.
- Maren, Alianna J. 2022. “When a Classifier Acts as an Autoencoder and an Autoencoder Acts as a Classifier.” Themesis, Inc. Blogpost Series (April 21, 2022). (Accessed Dec. 19, 2024; available online at “When a Classifier Acts as an Autoencoder …“.)
- Maren, Alianna J. 2024. “Chapter 9 (Draft): “The Hopfield Neural Network and the Restricted Boltzmann Machine: Two Energy-Based Neural Networks,” in Statistical Mechanics, Neural Networks, and Artificial Intelligence (in progress). (Accessed Dec. 19, 2024; available online at “The Hopfield Neural Network …“.)