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GoAI 2.0

Click Here for  Thursday, October 8, 2020 Webinar Registration

 

Overview

 

GoAI 2.0 is a machine learning development platform to deploy CNNs (Convolutional Neural Networks) on GOWIN FPGAs. It includes software scripts nedded to convert TensorFlow files and accelerator FPGA IP to run trained machine learning models as well as tutorials and examples.

GoAI 2.0 is integrated into the TensorFlow and TensorFlow Lite framework providing superior ease of use over legacy and alternative platforms.

GoAI 2.0 extends upon TensorFlow's extensive software development environment by generating all the necessary firmware to deploy a machine learning model directly onto GOWIN FPGAs without writing any additional RTL or C code. Windows and Linux including Ubuntu are fully supported.


Source

   

GoAI Development Kits



 

How to train a model on Google Cloud Platform

 

How to generate a flatbuffers (*.tflite) file in Google Colab

 

How to generate FPGA/MCU Firmware files from a flatbuffers (*.tflite) file

 

How to load a trained model onto GoAI platform



 

Camera Input Designs for Object Detection

  FPGA and MCU Firmware Files:

  Coefficient Files:

 

 

HDMI/DVI Input Designs for Object detection

  FPGA and MCU Firmware Files:

  Coefficient Files:

 

 

Audio Input Designs for Speech and Sound Detection

  FPGA and MCU Firmware Files:

 

 

Accelerometer for Gesture and Movement Detection [Coming Soon]

  FPGA and MCU Firmware Files:

  Coefficient Files:

 

 

Data Input Prediction

  FPGA and MCU Firmware Files:



   

Useful Links