Latest Release

Nov 14, 2017   |  

neon v2.3.0: Significant Performance Boost for Deep Speech 2 and VGG models

We are excited to announce the release of neon™ 2.3.0.  It ships with significant performance improvements for Deep Speech 2 (DS2) and VGG models running on Intel® architecture (IA). For the DS2 model, our tests show up to 6.8X improvement1,4 with the Intel® Math Kernel Library (Intel® MKL) backend over the NumPy CPU backend with…

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#Release Notes

Model Zoo

neon™ comes with its own Model Zoo featuring pre-trained weights and example scripts for state-of-the-art models — the ones you see below are just a few.

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Image Classification

- GoogLeNet
- Alexnet

- Deep Residual Network
- All CNN

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Object Localization


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Scene Classification

Deep Residual Network

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Image Captioning


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Video Games

Deep Q-network

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bAbI (Question Answering)
-GRU/LSTM model
sentiment classification
-LSTM (IMDB dataset)

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C3D (UCF101 dataset)

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Deep Speech 2 (Librispeech dataset)

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Video Recognition

A fast 3D convolution network, C3D-based model for activity recognition using neon on the UCF-101 dataset.

Automatic Speech Recognition

Neon’s implementation of Baidu’s "Deep Speech 2" model for speech recognition trained on audio-books from the Librispeech corpus.
Spectrogram (top left), raw audio (top right), and FFT spectrum (bottom).

Sentiment Analysis

A LSTM-based model constructed in neon to perform sentiment analysis on live Twitter* stream.

Demo Playlist

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