22 Sep
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
31 Aug
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
02 Sep
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
27 Aug
Improving Convolutional Neural Networks: The weakn...
Introduction In our previous tutorial series, we looked at sign language recognition using the sign language MNIST dataset based off the original 1999 MNIST dataset, which is considered the “Hello World” of machine learning. We did this because we wanted
21 Aug
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
14 Aug
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.
12 Aug
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
05 Aug
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
01 Aug
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
23 Jul
Vitis AI using Tensorflow and Keras Tutorial part ...
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 on the FPGA itself. The first step in this process
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