Uses of Package
deepnetts.data

Packages that use deepnetts.data

Package	Description
deepnetts.automl	Support for automatically building deep learning models using hyper-parameter search.
deepnetts.data	Data structures to store example data used for building machine learning models.
deepnetts.data.norm	Data normalization methods, used to scale data to specific range, in order to make them suitable for use by a neural network.
deepnetts.eval	Evaluation procedures for machine learning models, used to estimate how good models are performing when given new data that (that was not used for training).
deepnetts.net	Neural network architectures with their corresponding builders.
deepnetts.net.loss	Commonly used loss functions, which are used to calculate error during the training as a difference between predicted and target output.
deepnetts.net.train	Training algorithms and related utilities.
deepnetts.util	Various utility classes including Tensor, image operations, multithreading, exceptions etc.

Classes in deepnetts.data used by deepnetts.automl

Class and Description
MLDataItem Single data item that will be used to train machine learning model.

Classes in deepnetts.data used by deepnetts.data

Class and Description
ExampleImage Example image to train a deep learning model.
ImageSet Data set with images that will be used to train convolutional neural network.
MLDataItem Single data item that will be used to train machine learning model.
TabularDataSet Basic data set with tabular data.
TrainTestPair This class holds training and test data set pair.

Classes in deepnetts.data used by deepnetts.data.norm

Class and Description
MLDataItem Single data item that will be used to train machine learning model.

Classes in deepnetts.data used by deepnetts.eval

Class and Description
MLDataItem Single data item that will be used to train machine learning model.

Classes in deepnetts.data used by deepnetts.net

Class and Description
MLDataItem Single data item that will be used to train machine learning model.
Preprocessing Data pre-processing abstraction.

Classes in deepnetts.data used by deepnetts.net.loss

Class and Description
MLDataItem Single data item that will be used to train machine learning model.

Classes in deepnetts.data used by deepnetts.net.train

Class and Description
MLDataItem Single data item that will be used to train machine learning model.

Classes in deepnetts.data used by deepnetts.util

Class and Description
ImageSet Data set with images that will be used to train convolutional neural network.
Preprocessing Data pre-processing abstraction.
TabularDataSet Basic data set with tabular data.
TabularDataSet.Item Represents a basic data set item (single row) with input tensor and target vector in a data set.