+- Softwarez.Info - Software's World! (https://softwarez.info)
+-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone)
+--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials)
+--- Thread: CoreML - Master Machine Learning for iOS Apps (/Thread-CoreML-Master-Machine-Learning-for-iOS-Apps--484873)
CoreML - Master Machine Learning for iOS Apps - AD-TEAM - 07-22-2024
![[Image: bd6ceb26e928fe01e826a2328ca776c8.jpg]](https://i123.fastpic.org/big/2024/0722/c8/bd6ceb26e928fe01e826a2328ca776c8.jpg)
CoreML - Master Machine Learning for iOS Apps
Duration: 3h48m | .MP4 1280x720, 30 fps® | AAC, 44100 Hz, 2ch | 3.54 GB
Genre: eLearning | Language: English
Build Intelligent iOS 11 apps using Apple's Native Machine Learning API - CoreML
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.
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 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!
Who this course is for:
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.
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.
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 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!
Who this course is for:
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.
[To see links please register or login]