About Jennifer Myers

Jennifer has 20 years experience leading software engineering at both startups and large companies - spanning networking, security, video and search. She created her first neural networks at Carnegie Mellon in 1987, holds a Ph.D. in Neuroscience from Northwestern where she built recurrent neural networks for her thesis, and she is thrilled to be advancing her original field of study once again.

neon v1.8.0 released!

Highlights from this release include:  * Skip Thought Vectors example * Dilated convolution support * Nesterov Accelerated Gradient option to SGD optimizer * MultiMetric class to allow wrapping Metric classes * Support [...]

By | Wednesday, December 28, 2016|Developer, Release Notes|

neon v1.7.0 released!

Highlights from this release include:  Update Data Loader to aeon for flexible, multi-threaded data loading and transformations. More information can be found in the docs, but in brief, aeon: provides an easy interface [...]

By | Monday, November 21, 2016|Developer, Release Notes|

neon v1.6.0 released!

Highlights from this release include:  Faster RCNN model Sequence to Sequence container and char_rae recurrent autoencoder model Reshape Layer that reshapes the input [#221] Pip requirements in requirements.txt updated to [...]

By | Wednesday, September 21, 2016|Developer, Release Notes|

neon v1.4.0 released!

Highlights from this release include:  * VGG16 based Fast R-CNN model using winograd kernels * new, backward compatible, generic data loader * C3D video loader model trained on UCF101 dataset [...]

By | Friday, April 29, 2016|Release Notes|