Mastering Image Detection Technology!
- Description
- Curriculum
- FAQ
- Reviews
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!
-
7Intro to Language BasicsVideo lesson
-
8Variable TypesVideo lesson
-
9Operations on VariablesVideo lesson
-
10Array and ListsVideo lesson
-
11Array and List OperationsVideo lesson
-
12If and Switch StatementsVideo lesson
-
13While LoopsVideo lesson
-
14For LoopsVideo lesson
-
15Functions IntroVideo lesson
-
16Parameters and Return ValuesVideo lesson
-
17Classes and Objects IntroVideo lesson
-
18Superclass and SubclassesVideo lesson
-
19Static Variables and Axis ModifiersVideo lesson
-
30Introduction to VariablesVideo lesson
-
31Variables Operations and ConversionsVideo lesson
-
32Collection TypesVideo lesson
-
33Collections OperationsVideo lesson
-
34Control Flow If StatementsVideo lesson
-
35While and For LoopsVideo lesson
-
36FunctionsVideo lesson
-
37Classes and ObjectsVideo lesson
-
38Project DemoVideo lesson
-
39Topics ListVideo lesson
-
40Importing Tensorflow to PycharmVideo lesson
-
41Constant Nodes and SessionsVideo lesson
-
42Variable NodesVideo lesson
-
43Placeholder NodesVideo lesson
-
44Operation nodesVideo lesson
-
45Loss, Optimizers, and TrainingVideo lesson
-
46Building a Linear Regression ModelVideo lesson
-
47Tensorflow Project Files - Mammoth InteractiveText lesson
-
48Intro and DemoVideo lesson
-
49Project Overview and MNIST DataVideo lesson
-
50Building Computational GraphVideo lesson
-
51Training and Testing the ModelVideo lesson
-
52Saving and Freezing the Graph for Android ImportVideo lesson
-
53Setting up Android Studio ProjectVideo lesson
-
54Building the UIVideo lesson
-
55Loading Digit ImagesVideo lesson
-
56Formatting Image DataVideo lesson
-
57Making Prediction Using ModelVideo lesson
-
58Displaying Results and SummaryVideo lesson
-
59Simple MNIST Project Files - Mammoth InteractiveText lesson
-
62Project DemoVideo lesson
-
63Project OverviewVideo lesson
-
64Exploring CIFAR 10 DatasetVideo lesson
-
65CIFAR 10 Android FixText lesson
-
66Formatting Input DataVideo lesson
-
67Building the ModelVideo lesson
-
68Freezing Graph and Training ModelVideo lesson
-
69Setting up the Android ProjectVideo lesson
-
70Setting up UIVideo lesson
-
71Loading and Displaying ImageVideo lesson
-
72Formatting Image Data for Model InputVideo lesson
-
73Predicting and Displaying ResultsVideo lesson
-
74Project SummaryVideo lesson
-
75CIFAR 10 Project Files - Mammoth InteractiveText lesson
External Links May Contain Affiliate Links read more