Machine Learning and Core ML with Jameson Toole
In this episode, Leo talks with Jameson Toole Co-founder / CTO of FritzAI about CoreML and Machine Learning. We talk about the process of introducing ML into your app, the different capabilities of CoreML, as well as the updates which have come out of WWDC 2020.
- Jameson Toole (@jamesonthecrow)
- Build an Action Classifier with Create ML
- Detect Body and Hand Pose with Vision
- Make apps smarter with Natural Language
- Control training in Create ML with Swift
- Get models on device using Core ML Converters
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Preparing for Machine Learning
- What does it mean to build a Model?
- What tasks are you trying to perform?
- How do you prep data for a model?
- How do you collect data for a model?
Deciding the Machine Learning Task
- What types of task can ML do?
- What's the difference between recommendation and recognition?
- What is supervised learning?
- What does Apple provide for building models?
- How does the Vision framework work?
- Why should you consider Machine Learning on Device?
- How can you process Speech?
- How does choosing the processor affect training?
Making ML Part of the Project
- How to iterate over models?
- How do you acquire that first set of data?
- What is synthetic data?
- How do you implement unit testing in Machine Learning?
ML and WWDC 2020
- How does Apple Silicon on the Mac affect Machine Learning?
- What advances in Machine Learning came out of WWDC 2020?
- How WWDC 2020 reveals how ML continues to evolve?
"Blippy Trance" by Kevin MacLeod (https://incompetech.com)
License: CC BY (http://creativecommons.org/licenses/by/4.0/)