neon™

Latest Release

Sep 18, 2017   |   Jayaram Bobba

neon v2.1.0: Leveraging Intel® Advanced Vector Extensions 512 (Intel® AVX-512)

We are excited to announce the availability of neon™ 2.1 framework. An optimized backend based on Intel® Math Kernel Library (Intel® MKL), is enabled by default on CPU platforms with this release. neon™ 2.1 also uses a newer version of the Intel ® MKL for Deep Neural Networks (Intel ® MKL-DNN), which features optimizations for…

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#neon #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

ImageNet
- GoogLeNet
- VGG
- Alexnet

CIFAR-10
- Deep Residual Network
- All CNN

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Object Localization

Fast-RCNN

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Scene Classification

Deep Residual Network

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Image Captioning

LSTM

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Video Games

Deep Q-network

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NLP

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

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Video

C3D (UCF101 dataset)

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Speech

Deep Speech 2 (Librispeech dataset)

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Demos

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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