vectorflow

Modules

dataset

module vectorflow.dataset

This module provides utility classes to iterate over data.

layers

module vectorflow.layers

Implementation of the various computational layers.

losses

module vectorflow.losses

The library supports already implemented loss functions, as well as a callback-based way to specify a custom loss.

math

module vectorflow.math

Low-level math primitives.

ml

module vectorflow.ml

Utility functions for ML-related tasks.

monitor

module vectorflow.monitor

Internal abstraction to report progress during training.

neurallayer

module vectorflow.neurallayer

Base class for all layers.

neuralnet

module vectorflow.neuralnet

NeuralNet is the main abstraction of vectorflow.

optimizers

module vectorflow.optimizers

Implementation of different stochastic optimizers.

regularizers

module vectorflow.regularizers

Implementation of standard regularizers for Linear layer.

serde

module vectorflow.serde

Internal serialization functions for automatic neural net ser/deser.

utils

module vectorflow.utils

Utility functions used across the library.

Public Imports

vectorflow.neuralnet

public import vectorflow.neuralnet;

vectorflow.layers

public import vectorflow.layers;

vectorflow.optimizers

public import vectorflow.optimizers;

vectorflow.regularizers

public import vectorflow.regularizers;

vectorflow.neurallayer

public import vectorflow.neurallayer : type = LayerT, SparseF, SparseFG;

• vectorflow