Discover how to incorporate machine learning into your iOS apps using Apple's Create ML in this 22-minute conference talk from try! Swift NYC 2018. Learn the basics of machine learning, including training and inference, deep learning, and transfer learning. Explore the Vision framework, ready-to-use models, and Core ML converters. Gain hands-on experience with Create ML for tasks like text classification and image recognition, all within the familiar Xcode and Swift environment. Compare Create ML with Turi Create in Python, and get tips on exploring more advanced ML tools like Keras and scikit-learn. Perfect for developers looking to add AI capabilities to their apps without extensive math or Python knowledge.
Overview
Syllabus
Intro
APPLE ML JOURNAL
WHAT IS MACHINE LEARNING?
TRAINING & INFERENCE
DEEP LEARNING?
IS IT HARD / A LOT OF WORK?
VISION FRAMEWORK
READY-TO-USE MODELS
CORE ML CONVERTERS
TRANSFER LEARNING
DATA AUGMENTATION
CREATE ML
VALIDATION VS TEST
TEXT CLASSIFIER
TURI CREATE TASKS
TRY IT!
MACHINE LEARNING BOOK!
Taught by
try! Swift Conference
