Siraj Raval explains how neuroscience and machine learning are related as well as how the two fields will help each other advance.
This week James Montemagno is joined by Jim Bennett, a Cloud Developer Advocate at Microsoft, who shows us how to use AI inside a mobile app to identify his daughters’ toys.
In the video below, he walks through using the Azure custom vision service to generate a model to identify different toys, then shows how you can use these models from inside your app, both remotely by calling an Azure service, or locally by running the model on your device using CoreML and Tensorflow.
- Azure Custom Vision service
- Custom Vision service docs
- Sample toy identifier app
- Xamarin plugin to use CoreML and Tensorflow with custom vision models
- Find James on: Twitter, GitHub, Blog, and his weekly development podcast Merge Conflict.
- Follow @JamesMontemagno
- Never Miss an Episode: Follow @TheXamarinShow
- Find Jim on: Twitter, GitHub, Blog, Jim’s book – Xamarin In Action
TensorFlow is a powerful data flow-oriented machine learning framework developed by Google’s Brain Team. It was designed to be easy to use and widely applicable on both numeric, neural network-oriented problems as well as other domains.
Ted Way comes to the IoT Show to introduce Machine Learning and show an example of an IoT solution doing predictive maintenance with Azure Machine Learning.
Brian Cox is physicist who serves as professor of particle physics in the School of Physics and Astronomy at the University of Manchester.
Best known as the presenter of science programs in the UK, especially he has authored or co-authored over 950 scientific publications.
In this talk at the Royal Society, he tackles AI and Machine Learning in this panel discussion.
CGP Grey explains machine learning in a very approachable way.
Siraj Raval programs a virtual robot to do some house cleaning using a technique called Monte Carlo Prediction. In typical Siraj fashion he explains what it is, how it works and how to use it for reinforcement learning.
Siraj Raval takes on YOLO. It’s not what you think.
This time it stands for You Only Look Once, a great object detection method for adding computer vision features to live streaming video.