Accelerating the pace of engineering and science

Neural Network Toolbox

Deep Learning

Deep Learning

Train deep convolutional neural networks with built-in GPU acceleration for image classification tasks (using Parallel Computing Toolbox)

Latest Releases

R2016a (Version 9.0) - 3 Mar 2016

Version 9.0, part of Release 2016a, includes the following enhancements:

  • Deep Learning: Train deep convolutional neural networks with built-in GPU acceleration for image classification tasks (using Parallel Computing Toolbox)

See the Release Notes for details.

R2015b (Version 8.4) - 3 Sep 2015

Version 8.4, part of Release 2015b, includes the following enhancements:

  • Autoencoder neural networks for unsupervised learning of features using the trainAutoencoder function
  • Deep learning using the stack function for creating deep networks from autoencoders​
  • Improved speed and memory efficiency for training with Levenberg-Marquardt (trainlm) and Bayesian Regularization (trainbr) algorithms​

See the Release Notes for details.

R2015a (Version 8.3) - 5 Mar 2015

Version 8.3, part of Release 2015a, includes the following enhancements:

  • Progress update display for parallel training

See the Release Notes for details.

R2014b (Version 8.2.1) - 2 Oct 2014

Version 8.2.1, part of Release 2014b, includes bug fixes.

See the Release Notes for details.

R2014a (Version 8.2) - 6 Mar 2014

Version 8.2, part of Release 2014a, includes bug fixes.

See the Release Notes for details.