<--- Back to Details
First PageDocument Content
Machine learning / Artificial neural networks / Computational neuroscience / Cybernetics / Computational statistics / Deep learning / Feature learning / Autoencoder / Deep belief network / Dimensionality reduction / Backpropagation / Supervised learning
Date: 2016-06-06 02:20:12
Machine learning
Artificial neural networks
Computational neuroscience
Cybernetics
Computational statistics
Deep learning
Feature learning
Autoencoder
Deep belief network
Dimensionality reduction
Backpropagation
Supervised learning

Cross-modal Sound Mapping Using Deep Learning Ohad Fried Rebecca Fiebrink Princeton University

Add to Reading List

Source URL: www.ohadf.com

Download Document from Source Website

File Size: 533,95 KB

Share Document on Facebook

Similar Documents

Backpropagation for a Linear Layer Justin Johnson April 19, 2017 In these notes we will explicitly derive the equations to use when backpropagating through a linear layer, using minibatches. During the forward pass, the

Backpropagation for a Linear Layer Justin Johnson April 19, 2017 In these notes we will explicitly derive the equations to use when backpropagating through a linear layer, using minibatches. During the forward pass, the

DocID: 1vseD - View Document

Backpropagation and Gradients Agenda ● ●

Backpropagation and Gradients Agenda ● ●

DocID: 1uBQU - View Document

On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We present a simple, intuitive argument based on “inva

On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We present a simple, intuitive argument based on “inva

DocID: 1uALI - View Document

Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a

Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a

DocID: 1thx4 - View Document

arXiv:1605.07736v1 [cs.LG] 25 MayLearning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Dept. of Computer Science

arXiv:1605.07736v1 [cs.LG] 25 MayLearning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Dept. of Computer Science

DocID: 1t5PP - View Document