Vitis AI using Tensorflow and Keras Tutorial Part 9
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…
Getting started with Computer Vision for Vitis 2020.1 on Zynq: Part 1 Quick Start
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…
Vitis AI using Tensorflow and Keras Tutorial Part 8
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…
Vitis AI using Tensorflow and Keras Tutorial Part 7
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…
Vitis AI using Tensorflow and Keras Tutorial part 6
Part 6: Converting and Freezing our CNN Now we have built a more optimal CNN by handling both under-fitting and over-fitting, we can begin the process of deploying our model…
Vitis AI using Tensorflow and Keras Tutorial Part 5
Part 5: Optimising our CNN In our previous section, we both trained our network on a training set and tested it on a testing set and our accuracy on the…