Development Tools & RunTime Inference Engine
Train your model once, run it anywhere

DeepView™ Development Suite is a Python/Jupyter based Toolkit and highly portable Run-Time inference engine specifically developed to help embedded engineers design, train and deploy DNN's, CNN's and RNN's on embedded compute platforms.


The DeepView™ 2.0 ML Toolkit provide 2 primary workflows

  • BYOD (Bring Your Own Data) allows the developer to quickly and easily transfer learn a pre-existing neural network with images relevant to your interests.

  • BYOM (Bring Your Own Model) workflow allows you to easily convert your custom or proprietary network from Caffe or TensorFlow and deploy to target(s) of your choosing for evaluation and optimization.


The DeepView™RT 2.0 Run-Time inference engine allows the developer to easily deploy, evaluation and profile models on a very wide range of standard or custom silicon.  It has been developed to support many different classes of embedded processing clusters, multiple operating systems and a wide range of industry standard System on Chip processors:

  • Processor types: Microcontrollers (MCU's), Microprocessors (MPU's), Graphics Processing Unit's (GPU's) and AI Accelerators

  • Runtime Environments: Linux, Android, common RTOS' and bare metal

  • Standard Semi Vendors: Arm, Broadcom, HiKey, Infineon, NXP, Renesas, Rockchip, Samsung, ST Micro, Synopsys & more

Product Brief
DeepView 2.0 ML Tookit and SDK Product B
Raspberry Pi Dev Program

Au-Zone is completing alpha trials on RPi now and will be launching a DeepView™2.0 RPi Developer program to get the tools and engine into more hands.   The goal of the program is simple, let people use DeepView™ for non-commercial, experimental and educational use and see what they do with it!

If you are interested to find out more, please sign up below

DeepView™RT 2.0 Support Matrix

The table below shows the relative performance for many common public DNN models (rows) on devices (columns) from several of the well known semiconductor manufacturers.  

DeepView 2.0 Inference Engine Support Ma
RPi BYOD Demo Video

Contact Us

© 2014 by Au Zone Technologies

© 2014 by Au Zone Technologies

114, 1215 13th St SE Calgary Alberta