CoreML Master Machine Learning for iOS Apps
What you’ll learn
Build intelligent iOS apps that use machine learning.
Create an app that uses the Inception V3 framework with CoreML to identify objects visually.
Understand how the ImagePickerView works and how you can enable the camera functionality in your iOS apps.
Make an app that recognises the name of a flower just from a picture.
Familiar with basic iOS app development
A Mac or PC running macOS Sierra 10.12.4 or later
No paid software required – all apps will be created in Xcode 9 (which is free)
Have an app idea that requires machine learning?
But all the maths getting you down?
Want a simple and easy way of implementing machine learning in your iOS apps?
Then this course is for you!
Join me as we dive into Apple’s latest iOS 11 API – CoreML – a native iOS framework built with Swift.
After this course you fully understand:
What is machine learningSupervised learningUnsupervised learningReinforcement learningHow CoreML worksHow to implement image recognition in your iOS appsHow to convert existing trained models created using Caffe, Keras, TensorFlow or scikit Learn into a MLModel that you can drag and drop into your iOS apps.and much much more…
Take a look at what other students have been saying about this course:
“I am about a third through this course and I have learned so much. This course is worth way more than what it cost but I’m thankful prices are low or I might have passed it up in the first place not knowing what I would get. I have used a couple Udemy courses and countless youtube tutorials. This is the best course I’ve ever took.” – Jeffrey Nelson
“The course offers interesting concepts coupled with a teacher that explains things clearly. You get to make a bunch of interesting apps and expand your skills. Thanks Angela!” – Megan Eding
“Clear tutorials, the lecturer explains everything well. It is one of the best courses I have participated in on Udemy.” – Mark Garcia
“Angela is connecting the missing dots for me… ” – Tom Colenbrander
What are you waiting for? Join the course today!
Section 1: Introduction to Machine Learning
Lecture 1 Install the Required Software
Lecture 2 Introduction to Machine Learning
Lecture 3 Supervised Learning
Lecture 4 Unsupervised Learning
Lecture 5 Reinforcement Learning
Section 2: Apple’s Latest API for iOS 11 – CoreML Framework
Lecture 6 What is CoreML?
Lecture 7 What We’ll Make By the End of This Module
Lecture 8 How to Import the Image Recognition Models and Enable Camera Functionality
Lecture 9 Getting Image Recognition Results Back from Our Inception V3 Model
Lecture 10 Hotdog or Not Hotdog?
Lecture 11 Download the Completed App Project
Section 3: Advanced CoreML – How to Convert Pre-Trained Models Using CoreML Tools
Lecture 12 What We’ll Make By the End of This Module
Lecture 13 Installing CoreML Tools Using Python
Lecture 14 Converting a Caffe Model in to MLModel
Lecture 15 [Challenge] Set up a UIImagePickerController
Lecture 16 [Solution] Set up a UIImagePickerController
Lecture 17 [Challenge] Getting Classifications from our Model
Lecture 18 [Solution] Getting Classifications from our Model
Lecture 19 [Challenge] Adding Cocoapods to Our Project
Lecture 20 [Solution] Adding Cocoapods to Our Project
Lecture 21 [Challenge] Making HTTP Get requests to Wikipedia using Alamofire and REST
Lecture 22 [Solution] Making HTTP Get requests to Wikipedia using Alamofire and REST
Lecture 23 [Challenge] Parsing the JSON Result using SwiftyJSON
Lecture 24 [Solution] Parsing the JSON Result using SwiftyJSON
Lecture 25 Displaying Images from a URL using SDWebImage
Lecture 26 [Bonus Lesson] Creating the App Icon from Scratch and Styling the App
Lecture 27 Download the Completed App Project
Section 4: [Bonus Section] Adding Machine Learning to iOS Apps Using IBM Watson
Lecture 28 What We’ll Make By the End of This Module
Lecture 29 A Note About RestKit
Lecture 30 How to Install and Use Carthage as a Dependency Manager
Lecture 31 The Many Ways of Installing Carthage
Lecture 32 How to Implement the Camera and Photo Library Functionality
Lecture 33 How to Use a Pre-Trained Neural Net from IBM to Classify Any Image
Lecture 34 How to Process the Data You Get Back from IBM Bluemix
Lecture 35 Let’s Beautiful Our App and Make it Look like the Real Deal
Lecture 36 Download the Completed App Project
If you are an intermediate to advanced iOS developer looking to add more skills under your belt.,If you are looking to quickly get up to date with the latest iOS 11 APIs.,If you are a beginner and want to learn to create intelligent iOS apps using machine learning without having to understand a lot of complicated maths.
Udemy | English | 3h 48m | 3.61 GB
Created by: App Brewery Co.