Uses of Package
deepnetts.net

Packages that use deepnetts.net

Package	Description
deepnetts.automl	Support for automatically building deep learning models using hyper-parameter search.
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.net used by deepnetts.automl

Class and Description
FeedForwardNetwork Feed forward neural network architecture, also known as Multi Layer Perceptron.
NeuralNetwork Base class for all neural networks in Deep Netts.

Classes in deepnetts.net used by deepnetts.eval

Class and Description
NeuralNetwork Base class for all neural networks in Deep Netts.

Classes in deepnetts.net used by deepnetts.net

Class and Description
ConvolutionalNetwork Convolutional neural network is an extension of feed forward network, which can include 2D and 3D adaptive preprocessing layers (Convolutional and MaxPooling layer), which is specialized to learn to recognize features in images.
ConvolutionalNetwork.Builder Builder for a convolutional neural network.
FeedForwardNetwork Feed forward neural network architecture, also known as Multi Layer Perceptron.
FeedForwardNetwork.Builder Builder of a FeedForwardNetwork instance.
NetworkType Neural network architecture types.
NeuralNetwork Base class for all neural networks in Deep Netts.

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

Class and Description
NeuralNetwork Base class for all neural networks in Deep Netts.

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

Class and Description
NeuralNetwork Base class for all neural networks in Deep Netts.

Classes in deepnetts.net used by deepnetts.util

Class and Description
ConvolutionalNetwork Convolutional neural network is an extension of feed forward network, which can include 2D and 3D adaptive preprocessing layers (Convolutional and MaxPooling layer), which is specialized to learn to recognize features in images.
FeedForwardNetwork Feed forward neural network architecture, also known as Multi Layer Perceptron.
NeuralNetwork Base class for all neural networks in Deep Netts.