4.88 out of 5
4.88
4 reviews on Udemy

Mastering Image Detection Technology!

​​Make machine learning apps to detect objects, images, text & more!
Instructor:
John Bura
1,947 students enrolled
English [Auto]
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!

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.

Enroll now to join the community!

Introduction to Machine Learning + Software

1
Projects Overview
2
Deep Learning Resources - Mammoth Interactive

Android Studio

1
Downloading and Installing Android Studio
2
Exploring Interface
3
Setting up an Emulator and Running Project
4
Code

Java

1
Intro to Language Basics
2
Variable Types
3
Operations on Variables
4
Array and Lists
5
Array and List Operations
6
If and Switch Statements
7
While Loops
8
For Loops
9
Functions Intro
10
Parameters and Return Values
11
Classes and Objects Intro
12
Superclass and Subclasses
13
Static Variables and Axis Modifiers

App Development

1
Intro To Android App Development
2
Building Basic UI
3
Connecting UI to Backend
4
Implementing Backend and Tidying UI

Machine Learning Concepts

1
Intro to ML
2
Pycharm Files

Pycharm

1
Project Overview
2
Pycharm Source Files - Mammoth Interactive

Introduction to PyCharm

1
Downloading and Installing Pycharm and Python
2
Exploring Pycharm

Python Language Basics

1
Introduction to Variables
2
Variables Operations and Conversions
3
Collection Types
4
Collections Operations
5
Control Flow If Statements
6
While and For Loops
7
Functions
8
Classes and Objects

Tensorflow

1
Project Demo
2
Topics List
3
Importing Tensorflow to Pycharm
4
Constant Nodes and Sessions
5
Variable Nodes
6
Placeholder Nodes
7
Operation nodes
8
Loss, Optimizers, and Training
9
Building a Linear Regression Model
10
Tensorflow Project Files - Mammoth Interactive

Simple MNIST

1
Intro and Demo
2
Project Overview and MNIST Data
3
Building Computational Graph
4
Training and Testing the Model
5
Saving and Freezing the Graph for Android Import
6
Setting up Android Studio Project
7
Building the UI
8
Loading Digit Images
9
Formatting Image Data
10
Making Prediction Using Model
11
Displaying Results and Summary
12
Simple MNIST Project Files - Mammoth Interactive

Build Scientific Analysis Apps

1
Coming Up - Building Detection Models
2
Source Code - Mammoth Interactive

Simple CIFAR10

1
Project Demo
2
Project Overview
3
Exploring CIFAR 10 Dataset
4
CIFAR 10 Android Fix
5
Formatting Input Data
6
Building the Model
7
Freezing Graph and Training Model
8
Setting up the Android Project
9
Setting up UI
10
Loading and Displaying Image
11
Formatting Image Data for Model Input
12
Predicting and Displaying Results
13
Project Summary
14
CIFAR 10 Project Files - Mammoth Interactive

Face Detection

1
Project Demo
2
Project Overview
3
Loading Face and Non Face Images
4
Reformatting Input Data
5
Building Model and Writing Train and Test Scripts
6
Freezing Graph and Training and Testing Model
7
Setting up Android Project
8
Setting up User Interface
9
Loading and Display Images
10
Formatting Data and Running Inference
11
Displaying Results and Summary
12
Facial Detection Project Files - Mammoth Interactive
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102 hours on-demand video
66 articles
Full lifetime access
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Certificate of Completion
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