## Mixture Density Networks with Julia

This post is also available as a Jupyter notebook.
Related posts:
JavaScript implementation. TensorFlow implementation. PyTorch implementation This post is a result of me trying to understand how to do deep learning in Julia using the excellent Flux package as well as getting a better understanding of conditional density estimation using a simple but effective techniqueâ€”Mixture Density Networks (Bishop, 1994). This post follows very closely the PyTorch implementation (including paraphrasing some statements) listed above, which itself was adapted from the original TensorFlow and JavaScript implementations.
[Read More]