Intro to TensorFlow - For iOS & Android

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John Bura,Mammoth Interactive

14:17:17

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0-Course Trailer

1 - Course Trailer.mp4

00:40

1 - Update Resources

1 - Mammoth-Interactives-iOS-Android-Resources.zip

2 - Update Resources.html

2 - Intro to Android Studio

3 - Intro to Android.mp4

02:25

4 - Downloading & Installing Android Studio.mp4

06:44

5 - Exploring Interface.mp4

12:12

6 - Setting up Emulator and Running Project.mp4

06:43

3 - Intro to Java

7 - Java Language Basics.mp4

02:46

8 - Variable Types.mp4

14:00

9 - Operations on Variables.mp4

10:49

10 - Arrays and Lists.mp4

09:26

11 - Array and List Operations.mp4

08:00

12 - If and Switch Statements.mp4

11:34

13 - While Loops.mp4

10:09

14 - For Loops.mp4

08:51

15 - Functions Intro.mp4

08:39

16 - Parameters and Return Values.mp4

07:05

17 - Classes and Objects Intro.mp4

12:13

18 - Superclass and Subclasses.mp4

11:42

19 - Static Variables and Axis Modifiers.mp4

07:27

4 - Intro to App Development

20 - Intro to Android App Development.mp4

01:57

21 - Building User Interface.mp4

12:16

22 - Connecting UI to Backend.mp4

06:12

23 - Implementing Backend and Tidying UI.mp4

09:09

5 - Intro to Machine Learning Concepts

24 - ML Concepts Intro.html

25 - Intro to PyCharm.mp4

02:40

26 - Installing PyCharm and Python.mp4

06:55

27 - Exploring PyCharm.mp4

07:48

28 - Code.zip

28 - Files Source Code.html

6 - Python Language Basics

29 - Intro to Variables.mp4

13:17

29 - Variables for Absolute Beginners Free Python Tutorial.txt

30 - Variables Operations and Conversions.mp4

12:35

31 - Collection Types.mp4

12:47

32 - Collections Operations.mp4

08:42

33 - Control Flow If Statements.mp4

12:50

34 - While and For Loops.mp4

10:45

35 - Functions.mp4

11:23

36 - Classes and Objects.mp4

15:40

37 - Files Source Code.html

37 - Source-Code.zip

7 - Intro to TensorFlow

38 - TensorFlow Intro.mp4

02:53

39 - Topics List.mp4

06:09

40 - Importing TensorFlow to PyCharm.mp4

04:25

41 - Constant Nodes and Sessions.mp4

09:01

42 - Variable Nodes.mp4

10:45

43 - Placeholder Nodes.mp4

07:35

44 - Operation Nodes.mp4

12:47

45 - Loss Optimizers and Training.mp4

11:56

46 - Building a Linear Regression Model.mp4

20:30

47 - Files Source Code.html

47 - Source-Files.zip

8 - Machine Learning in Android Studio Projects

48 - Introduction to ML for Android.mp4

05:15

9 - Introduction to TensorFlow Estimator

49 - Introduction to TensorFlow Estimator.mp4

03:08

50 - Topics List.mp4

04:12

51 - Setting up Prebuilt Estimator Model.mp4

15:15

52 - Evaluating and Predicting with Model.mp4

07:42

53 - Building Custom Estimator Function.mp4

10:12

54 - Testing Custom Estimator Function.mp4

07:00

55 - Summary and Model Comparison.mp4

09:46

56 - Source Code.html

56 - Source-Files.zip

10 - Intro to Android ML Model Import

57 - Intro & Demo Android ML Model Import.mp4

04:09

58 - Topics List.mp4

04:22

59 - Formatting and Saving Model.mp4

08:25

60 - Saving Optimized Graph File.mp4

14:48

61 - Starting Android Project.mp4

09:01

62 - Building UI.mp4

14:56

63 - Implementing Inference Functionality.mp4

09:14

64 - Testing and Error Fixing.mp4

11:01

65 - Source Files.html

65 - Source-Files.zip

11 - Simple MNIST

66 - Intro & Demo Simple MNIST.mp4

03:50

67 - Topics List and Intro to MNIST Data.mp4

10:24

68 - Building Computational Graph.mp4

14:20

69 - Training and Testing Model.mp4

14:24

70 - Saving Graph for Android Import.mp4

12:33

71 - Setting up Android Studio Project.mp4

13:07

72 - Building User Interface.mp4

15:58

73 - Loading Digit Images.mp4

10:02

74 - Formatting Image Data.mp4

10:59

75 - Making Prediction Using Model.mp4

07:32

76 - Displaying Results and Summary.mp4

13:14

77 - Source Files.html

77 - Source-Files.zip

12 - MNIST With Estimator

78 - MNIST With Estimator Intro.mp4

03:08

79 - Topics List.mp4

02:38

80 - Building Custom Estimator Function.mp4

15:34

81 - Training & Testing Input Functions.mp4

13:38

82 - Predicting Using Model & Comparisons.mp4

09:38

83 - Source Files.html

83 - Source-Files.zip

13 - Xcode Intro

84 - Downloading and Installing Xcode.mp4

06:22

84 - Get Xcode Apples free development platform here.txt

85 - Dont Have a Mac Computer.html

86 - Exploring XCodes Interface.mp4

15:40

14 - Swift Language Basics

87 - Variables Intro.mp4

07:57

88 - Variables Operations.mp4

10:43

89 - Collections.mp4

08:57

90 - Control Flow.mp4

10:18

91 - Functions.mp4

05:28

92 - Classes and Objects.mp4

09:55

15 - iOS App Development Intro

93 - Building App From Start to Finish.mp4

12:46

16 - Intro to CoreML

94 - Intro to CoreML.mp4

09:08

17 - TensorFlow for iOS

95 - Introduction to TensorFlow for iOS.mp4

04:35

96 - Converting pb to mlmodel File and Project.mp4

07:34

97 - Running Inference Through Model.mp4

09:58

98 - Testing and Summary.mp4

03:55

18 - Image Recognition in iOS

99 - Intro & Demo Image Recognition in iOS.mp4

03:20

100 - Project Setup.mp4

06:59

101 - Displaying and Resizing Images.mp4

09:42

102 - Converting Image to Pixel Buffer.mp4

14:06

103 - Summary and Outro.mp4

08:07

104 - Source Code.html

104 - Source-Code.zip

19 - Bonus

105 - Please rate this course.html

106 - Bonus Lecture Newsletter.html

Description

Learn artificial intelligence, machine learning & coding. Build projects! Explore Python, Java, PyCharm, databases, more

What You'll Learn?

Learn everything with examples and practical projects
Explore machine learning concepts
Learn how to use TensorFlow 1.4.1 to build, train, and test machine learning models
We explore Python 3.6.2 and Java 8 languages
Use PyCharm 2017.2.3 and Android Studio 3 to build apps.
Intro to iOS, Xcode, Swift, Core ML, and image recognition

Who is this for?

Anyone who wants to learn the technology that is revolutionizing how we interact with the world around us

What You Need to Know?

No experience required!

We will take you through the steps of downloading and installing Android Studio, PyCharm, and Python

More details

Description
This course was funded by a wildly successful Kickstarter

Explore PyCharmÂ 2017.2.3 and the amazing Python 3.6.2 language
Explore Android Studio 3Â and the Java 8 language
Discover applications of machine learning and where we use artificial intelligence and algorithms daily
Learn what TensorFlowÂ 1.4.1 is and how it makes machine learning development easier
Build a linear regression model to fit a line through data
Learn how to incorporate machine learning models into Android apps
Build a simple digit recognition project using the MNIST handwritten digit database
Learn how theÂ TensorFlow estimator differs from other computational graphs

A machine learning framework for everyone

If you want to buildÂ sophisticated and intelligent mobile appsÂ or simply want to know more about how machine learning works in a mobile environment, this course is for you.

Be one of the first

There are next toÂ noÂ courses on big platformsÂ that focus onÂ mobileÂ machine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment.

WeÂ provideÂ clear, concise explanationsÂ at each step along the way so that viewers can not only replicate, but alsoÂ understand andÂ expandÂ upon what I teach. OtherÂ courses donâ€™t do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do.Â

No prior knowledge is required

We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because itâ€™s designed for beginners.

**Jump into a field that has moreÂ demandÂ than supply

Machine learning changes everything. Itâ€™s bringing us self-driving cars, facial recognition and artificial intelligence. And the best part is: anyone can create such innovations.

Enroll now to start the next step of your career**
Who this course is for:
Anyone who wants to learn the technology that is revolutionizing how we interact with the world around us

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John Bura is has been a successful Udemy instructor since 2011. John Bura has been programming games since 1997 and teaching since 2002. John is the owner of the game development studio Mammoth Interactive. This company produces XBOX 360, iPhone, iPad, android, HTML 5, ad-games and more. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to the top 10 in the Apple's app store. In his spare time John likes to play ultimate Frisbee, cycle and work out.

Mammoth Interactive

Instructor's Courses

Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you."I absolutely love this course. This is such a comprehensive course that was well worth the money I spent and a lot more. Will definitely be looking at more Mammoth Interactive courses when I finish this." – Student Matt W."Very good at explaining the basics then building to more complex features." – Student Kevin L.Try a course today.

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