Using Rust for machine learning still has a ways to go. It's possible to overcome some of the limitations, however, by getting familiar with the lower-level libraries that drive high-performance linear algebra computing, namely, SIMD, BLAS, and Lapack.
Generative adversarial neural networks (GANs) are all the rage. I explore if we can generate cookie recipes with GAN architectures, doing so in a way that's neither NLP nor computer vision.
