Complete Vitis AI tutorial with TensorFlow, Keras ...

Part 1: Introduction Welcome to our multi part tutorial on using Vitis AI with TensorFlow, Keras and BeetleboxCI. This tutorial series is designed to teach the entire development process from initial code to forming an entire Continuous Integration pipeline that

Why use Continuous Integration for FPGA design?

FPGA design has long been using traditional hardware development practises such as waterfall and V-model, but we believe the future of FPGAs lies in continuous integration and in this video we explore why. Transcript: FPGA design development has always embraced

Why use FPGAs for AI?

In our latest video we explain why there is so much excitement around using FPGAs for AI. Transcript: FPGAs have been around for decades but there has been renewed excitement around them thanks to AI, but why are we considering

What are FPGAs and why do they matter?

Check out our latest short video introduction to FPGAs: Transcript: “Field Programmable Gate Arrays or FPGAs for short are silicon chips that are made of reconfigurable blocks. In a normal chip, such as a CPU or a GPU, when we

Getting started with Computer Vision for Vitis 202...

Welcome to the 2020.1 version of getting started with computer vision on Vitis on Zynq. The release of 2020.1 saw significant changes from the old 2019.2 version and we thought it would be useful to update this tutorial to reflect

Getting started with Computer Vision for Vitis 202...

Welcome to the 2020.1 version of getting started with computer vision on Vitis on Zynq. The release of 2020.1 saw significant changes from the old 2019.2 version and we thought it would be useful to update this tutorial to reflect

Vitis AI using Tensorflow and Keras Tutorial Part ...

Part 9: Running our code on the DPU We now have our compiled model ready to run on our board. In this tutorial we will look at running our DPU and exploring the code that interacts with the DPU API.

Getting started with Computer Vision for Vitis 202...

Welcome to the 2020.1 version of getting started with computer vision on Vitis on Zynq. The release of 2020.1 saw significant changes from the old 2019.2 version and we thought it would be useful to update this tutorial to reflect

Vitis AI using Tensorflow and Keras Tutorial Part ...

Part 8: Compiling our CNN We now have our complete model and must make it ready to be run on the FPGA. To do this, we must compile our model with the Vitis AI compiler which will convert and optimise

Vitis AI using Tensorflow and Keras Tutorial Part ...

Part 7: Quantising our graph In our previous tutorial we produced our frozen model so now we can optimise it to make it run on our FPGA hardware efficiently, which we can do through quantisation. Quantisation is the process of

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