Neural Network

What are Deep Convolutional Inverse Graphics Network (DC-IGN)? A model called the Deep Convolutional Inverse Graphics Network (DC-IGN) is made to learn interpretable representations of...

What is Deep Generative Models? Neural networks known as "deep generative models" are able to create fresh, realistic samples by learning to mimic the underlying...

What is Deep Boltzmann Machines? Multiple layers of hidden units make up a generative stochastic neural network known as a Deep Boltzmann Machine (DBM). It...

What is Spatial Transformer Networks? One kind of neural network module called a Spatial Transformer Network (STN) enables a model to differentiate between distinct spatial...

what is a deep belief networks? One kind of generative deep learning model composed of several layers of random, latent variables is called a Deep...

What is Restricted Boltzmann machine? One type of undirected graphical model containing latent variables is called a restricted Boltzmann machine (RBM). They act as a...

What are Deep networks? Artificial neural networks having several layers between the input and output are referred to as deep networks, or deep neural networks...

Hopfield Networks are a type of neural network that stands out for their capacity to act as a content-addressable memory and for its emergent...

What is Generative Adversarial Networks? A new framework for estimating generative models using an adversarial process is provided by Generative Adversarial Networks (GANs). Many of...

What are Generative Stochastic Networks? Generative Stochastic Networks (GSNs) are a type of generative model introduced by Yoshua Bengio and colleagues in 2014. GSNs are...