Deep Neural Network Classification

Description

A deep neural network (DNN) is an artificial neural network (ANN) with multiple layers between the input and output layers. There are different types of neural networks but they always consist of the same components: neurons, synapses, weights, biases, and functions. These components as a whole function similarly to a human brain, and can be trained like any other ML algorithm

Technical Details

Framework	MITRE D3FEND
Ontology URI	d3f:DeepNeuralNetClassification
Local Identifier	DeepNeuralNetClassification
Publication Status	Exists in ontology only

Relationships

Parent Tactics

D3A-ANNC Artificial Neural Network Classification
Model Model

Child Concepts

D3A-RNN Recurrent Neural Network
D3A-CNN Convolutional Neural Network

Related Techniques

D3A-MPC Multilayer Perceptron Classification (Unpublished)
D3A-ANNC Artificial Neural Network Classification (Unpublished)
D3A-RNN Recurrent Neural Network (Unpublished)
D3A-CNN Convolutional Neural Network (Unpublished)

D3FEND