Machine-learning

Approximate non one to one mapping using mixture density networks.

Construct a powerful object detection pipeline to detect marine animals

Learn about the tradeoffs of reducing losses using `sum()`, and reducing losses using `mean()`.

Overview of a common pitfall Keras users hit when writing subclass models

Discussion about why the Elixir programming language sticks out.

Deep dive into the internals of the Keras model class by writing a custom training loop duplicating the behavior of `keras.Model`.

Use Parametric Spectral Filters to construct an autoencoder.

TensorFlow has limited complex number support. Write the operations yourself to maintain automatic differentiation.