How CI/CD makes development better for IoT teams.

With technology moving at a more rapid pace than ever before, it can be difficult for developers to keep up with competition, but teams practising CI/CD can meet these challenges head on. Previously when devices had little to no connectivity,

What you need to know for CI/CD for the IoT

What you need to know for CI/CD for the IoT.

CI/CD is a development method for delivering software solutions in a safe, reliable and regular manner. It involves a continuous and automatic process for building, testing and deploying to meet a team’s code quality and software security standards. Traditionally when

Kickstart AI automation on FPGAs with BeetleboxCI

Check out our new short presentation on how BeetleboxCI provides whole application acceleration to AI, keeping with innovation far faster than other silicon chips: https://beetlebox.org/wp-content/uploads/2021/11/BeetleboxCI-for-Artificial-Intelligence.pdf The speed of AI innovation is outpacing silicon chips. FPGA Accelerators are the solutions. Here

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

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

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

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 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 training set (0.972) was higher than on our testing set

Sign Language Machine Learning

Vitis AI using TensorFlow and Keras Tutorial Part ...

Part 3: Extracting Kaggle data and building the Convolutional Neural Network (CNN) Welcome to Part 3 of our tutorial where we will be focused on how to extract our data from the Kaggle set and building our Convolutional Neural Network.

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