CoreML - Master Machine Learning for iOS Apps

Build Intelligent iOS 11 apps using Apple's Native Machine Learning API - CoreML

4.65 (132 reviews)
Udemy
platform
English
language
Mobile Apps
category
instructor
CoreML - Master Machine Learning for iOS Apps
1,114
students
4 hours
content
Feb 2018
last update
$64.99
regular price

What you will 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.

Why take this course?

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 learning
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • How CoreML works
  • How to implement image recognition in your iOS apps
  • How 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!

Reviews

Sergio
May 3, 2020
Amazing course. The instructor has a great knowlegde of the topic so that the content is clearly explained. As a remark the IBM Bluemix section seems to be a little bit out of date, not big deal if a background on development is possessed, but if it gets updated that would be awesome.
Duncan
April 3, 2019
Felt like there was a lot of repetition, would be nice if the bonus sections did not count towards completing the course.
Rick
March 14, 2019
Pretty. basic, not much about ML. specific, a lot of basic app development stuff that I already know, I just came for the ML parts and those were really limited
Santosh
March 5, 2019
In all three sections of course, there was only one example was taken. Try to explore other usecase of visual recognition model.
Jacob
March 4, 2019
The second exercise is almost a copy and paste of the first so far. Could be a better/more in depth tutorial.
Cor
February 8, 2019
Het gaat in een hoog tempo en als je niet helemaal bekend bent wordt de pauze toets veel gebruikt. Ook wat onduidelijkheden in de filmpjes
David
October 16, 2018
A good introduction to image processing with CoreML but I miss some examples about Natural language processing.
Akshat
September 18, 2018
Yes! Very informative for a beginner. A good revision for someone who has a little bit of experience.
Dawid
September 6, 2018
Well, whole course is dedicated to intermediate/advanced iOS Developers but it seems to be mostly for beginners. First few lessons (theory) were quite good, I've learnt thing or two. Rest of the course was too easy. 80% setting up pickers, doing some UI, nothing about ML and CoreML itself. That was sad, mainly because example apps seemed to be funny.
Thisas
March 26, 2018
Clear Examples and Explanations make this course easy to understand, even though it is a complex topic.

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1537586
udemy ID
2/2/2018
course created date
11/22/2019
course indexed date
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