Mastering Image Detection Technology!

​​Make machine learning apps to detect objects, images, text & more!

What you'll learn
Build a facial recognition project
Develop an interface that will allow you to load, modify, and save CIImages.
Build a simple digit recognition project using the MNIST handwritten digit database
Use Facial Recognition software that is available in Swift to detect facial features such as eyes and smiles in photographs.
Build a simple image recognition project using the CIFAR-10 library
And More!

Requirements
To follow along with these tutorials, you will need Xcode, Apple's free software for making apps for iOS, macOS, tvOS, and watchOS. Xcode is only available on Mac computers or computers with virtual machine MacOS software.
No experience required!
We will show you how to get all required programs for free
This course was recorded on a Mac

Description
Here we have a compilation of our course focuses on Image recognition and manipulation alongside Machine Learning, in this era of AI starting to learn how to recognize Images, using this course you can get ahead of the game before anyone else!

First we will install PyCharm 2017.2.3 and explore the interface. I will show you every step of the way. You will learn ​crucial Python 3.6.2 language fundamentals. Even if you have coding knowledge, going back to the basics is the ​key to success as a programmer. We will build and run Python projects. I teach through ​practical examples, follow-alongs, and over-the-shoulder tutorials. ​You won't need to go anywhere else.

Then we will install Android Studio 3 and explore the interface. You will learn how to add a simulator and build simple User Interfaces (UIs). For coding, you will learn Java 8 language fundamentals. Java is a ​HUGE language that you must know, and I will tell you all about it. We will build and run Android projects directly in the course, and you will have ​solid examples to ​apply your knowledge immediately.

We will build a basic ​image recognition model in PyCharm. We'll save the trained model, export it to Android Studio, and build an app around the model.

We will follow the same process to make apps for ​facial recognition, ​facial detection, and ​digit recognition.

Then we will cover ​advanced topics and make more ​complex and ​sophisticated projects for recognizing handwritten digits and images from datasets.

Discover the Keras library

Explore PyCharm and the Python language

Explore Android Studio and the Java language

Discover machine learning concepts

Explore TensorFlow, a machine learning framework

This course was funded through a massively successful Kickstarter campaign.

Why CIImages?

In this course, you learn how to add unique features to the images in your apps. A CIImage is a representation of an image that can be altered with Core Image filters. These filters allow users to change and interact with images in cool and useful ways. CIImages provide a lot of power that other image types do not.

Why Xcode?

Xcode is Apple's FREE software for app development. Xcode is user-friendly and has the tools you need to make apps for the iPhone, iPad, Mac, Apple Watch, and Apple TV. In this course, you learn how to add User Interface (UI) elements, including text fields, sliders, and buttons, to make an app. You learn to code in Swift 3.0, Apple's programming language, to make the app function.

Is this course for me?

By taking this course, you will gain the tools you need continue improving yourself in the field of app development. You will be able to apply what you learned to further experiment in Xcode and PyCharm to make your own apps able to perform more.

Also now included in these bundles are our extra courses. If you want to learn to use other programs such as Camtasia or Sketch, you get more content than what you paid for this way!

We really hope you decide to purchase this course and take your knowledge to the next level. Let's get started.

Who this course is for:
Beginners who want to learn machine learning.
Intermediates who want to advance their data science skills.
Anyone who wants to use artificial intelligence while making apps.
App developers who want to learn how to add image manipulation, recognition, and processing to their iOS apps.
Anyone who wants to learn machine learning through practical projects with Keras, PyCharm, Python, Android Studio, Java and TensorFlow.
Anyone who wants to learn the technology that is shaping how we interact with the world.

IMPORTANCE NOTE:
EXTRAS FILE contain 28 folder, they are same in some course, exp: 1 2 3,… So I've archived them to other file, you'll don't waste time and bandwidth to download duplicate file on other course.
List section
1. Sketch
2. Learn to Code in HTML
3. Learn to Code in CSS
4. D3.js
5. Introduction to PyCharm
6. Python Language Basics
7. Flask
8. Xcode Fundamentals
9. Swift 4 Language Basics
10. Variable and Constants
11. Collection Types
12. Control flow
13. Functions
14. Classes, Struct and Enums
15. Practical MacOS BootCamps
16. Data Mining With Python
17. Introduction to Video Editing
18. Setting Up a Screen Recording
19. Camtasia Recording
20. Camtasia Screen Layout
21. Camtasia Editing
22. Advance Editing Introduction
23. Camtasia Resources and Tips
24. Exporting a Project for Youtube
25. Code with C#
26. Learn to Code with R
27. Advanced R
28. Learn to Code with Java

More Info