Create and train a neural net classifier iPhone application using artificial intelligence. Step-by-step tutorial uses Wolfram tech. Learn to import and clean images, test and train datasets, convert to an ONNX file and deploy to an iPhone.
Summary
Learn about creating and training a neural net image classifier application for the iPhone to identify different types of mushrooms. Follow along step by step with this tutorial using built-in Wolfram Language functions as well as external code and applications to create a fully functional app that can be immediately deployed to a phone and used right away.
Featured Products & Technologies: Wolfram Language, Wolfram Notebooks, Wolfram Function Repository, Wolfram Neural Net Repository
You'll Learn To
Import and process images from online databases
Generate training and test datasets
Access pre-trained models in the Wolfram Neural Net Repository
Convert a Wolfram Language neural net model into the ONNX format
Interface with Core ML and Python code
Deploy an application to an iPhone using Apple Developer Tools
Summary
Learn about creating and training a neural net image classifier application for the iPhone to identify different types of mushrooms. Follow along step by step with this tutorial using built-in Wolfram Language functions as well as external code and applications to create a fully functional app that can be immediately deployed to a phone and used right away.
Featured Products & Technologies: Wolfram Language, Wolfram Notebooks, Wolfram Function Repository, Wolfram Neural Net Repository
You'll Learn To
Import and process images from online databases
Generate training and test datasets
Access pre-trained models in the Wolfram Neural Net Repository
Convert a Wolfram Language neural net model into the ONNX format
Interface with Core ML and Python code
Deploy an application to an iPhone using Apple Developer Tools
