CoreML Master Machine Learning for iOS Apps

Build Intelligent iOS 11 apps using Apple’s Native Machine Learning API – CoreML
CoreML Master Machine Learning for iOS Apps
File Size :
3.61 GB
Total length :
3h 48m

Category

Instructor

App Brewery Co.

Language

Last update

2/2018

Ratings

4.7/5

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.

CoreML Master Machine Learning for iOS Apps

Requirements

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)

Description

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!

Overview

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.

Course Information:

Udemy | English | 3h 48m | 3.61 GB
Created by: App Brewery Co.

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