Structures

A pandas-inspired dataframe. Dataframe is a tabular data representation. This particular Dataframe implementation is most useful to implement data feeder pipeline. You need some transformations so some text or images can be transformed into tensors for a model to consume. Dataframe can be used to implement that pipeline.

Undocumented

Hint are parameters to these operations that changes shape from input to output. It given proper stride / padding parameters for these operations.

Softmax cross-entropy loss. This combines softmax with cross-entropy loss to maximize numerical stability.

Sigmoid cross-entropy loss. This combines sigmoid with binary cross-entropy loss to maximize numerical stability.

Binary cross-entropy loss.

Multi-class cross-entropy loss.

Smooth L1 loss (for object detection).

Stochastic gradient descent optimizer.

Adam optimizer.

Basic tensor type.