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Hands-On Machine Learning: Learn TensorFlow, Python, & Java!

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John Bura,Mammoth Interactive

8:28:05

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  • 1 - Resources.html
  • 1 - Resources-from-Mammoth-Interactive.zip
  • 2 - Intro to Android and Topics List.mp4
    02:25
  • 3 - Downloading and Installing Android Studio.mp4
    06:44
  • 4 - Exploring Interface.mp4
    12:12
  • 5 - Setting up Emulator and Running Project.mp4
    06:43
  • 6 - Java Language Basics.mp4
    02:46
  • 7 - Variable Types.mp4
    14:00
  • 8 - Operations on Variables.mp4
    10:49
  • 9 - Arrays and Lists.mp4
    09:26
  • 10 - Array and List Operations.mp4
    08:00
  • 11 - If and Switch Statements.mp4
    11:34
  • 12 - While Loops.mp4
    10:09
  • 13 - For Loops.mp4
    08:51
  • 14 - Functions Intro.mp4
    08:39
  • 15 - Parameters and Return Values.mp4
    07:05
  • 16 - Classes and Objects Intro.mp4
    12:13
  • 17 - Superclass and Subclasses.mp4
    11:42
  • 18 - Static Variables and Axis Modifiers.mp4
    07:27
  • 19 - Intro to Android App Development.mp4
    01:57
  • 20 - Building Basic User Interface.mp4
    12:15
  • 21 - Connecting UI to Backend.mp4
    06:12
  • 22 - Implementing Backend and Tidying UI.mp4
    09:09
  • 23 - ML Concepts Intro.html
  • 24 - Intro to PyCharm and Topics List.mp4
    02:40
  • 25 - Installing PyCharm and Python.mp4
    06:55
  • 26 - Exploring PyCharm.mp4
    07:48
  • 27 - Code.zip
  • 27 - Files Source Code.html
  • 28 - Intro to Variables.mp4
    13:17
  • 29 - Variables Operations and Conversions.mp4
    12:36
  • 30 - Collection Types.mp4
    12:47
  • 31 - Collections Operations.mp4
    08:42
  • 32 - Control Flow If Statements.mp4
    12:50
  • 33 - While and For Loops.mp4
    10:44
  • 34 - Functions.mp4
    11:23
  • 35 - Classes and Objects.mp4
    15:40
  • 36 - Files Source Code.html
  • 36 - Source-Code.zip
  • 37 - TensorFlow Intro.mp4
    02:53
  • 38 - Topics List.mp4
    06:09
  • 39 - Installing TensorFlow.html
  • 40 - FAQ Help with TensorFlow Installation.html
  • 41 - Importing TensorFlow to PyCharm.mp4
    04:25
  • 42 - Constant Nodes and Sessions.mp4
    09:01
  • 43 - Variable Nodes.mp4
    10:45
  • 44 - Placeholder Nodes.mp4
    07:35
  • 45 - Operation Nodes.mp4
    12:47
  • 46 - Loss Optimizers and Training.mp4
    11:56
  • 47 - Building a Linear Regression Model.mp4
    20:30
  • 48 - Files Source Code.html
  • 48 - Source-Files.zip
  • 49 - Simple MNIST Intro and Demo.mp4
    03:50
  • 50 - Topics List and Intro to MNIST Data.mp4
    10:24
  • 51 - Building Computational Graph.mp4
    14:20
  • 52 - Training and Testing the Model.mp4
    14:24
  • 53 - Save & Freeze Graph for Android Import.mp4
    12:33
  • 54 - Setting up Android Studio Project.mp4
    13:07
  • 55 - Building User Interface.mp4
    15:58
  • 56 - Loading Digit Images.mp4
    10:03
  • 57 - Formatting Image Data.mp4
    11:00
  • 58 - Making Prediction Using Model.mp4
    07:32
  • 59 - Displaying Results and Summary.mp4
    13:13
  • 60 - Files Source Code.html
  • 60 - Source-Files.zip
  • 61 - Please rate this course.html
  • 62 - Bonus Lecture Newsletter.html
  • Description


    Jump into a field with more demand than supply. Apps driven by machine learning are the future of mobile app development

    What You'll Learn?


    • Learn to code in Python and Java
    • Learn to use PyCharm and Android Studio
    • Learn to use TensorFlow to build, train, and test machine learning models
    • Build apps
    • Understand and expand on machine learning concepts for your own projects
    • Get tools to work in the future of the world around us as artificial intelligence becomes more prevalent in everything we do

    Who is this for?


  • Anyone who wants to use machine learning in a mobile environment
  • What You Need to Know?


  • No prior experience necessary
  • We will take you through the steps of downloading and installing Android Studio, PyCharm, and Python
  • More details


    Description

    Python, Java, PyCharm, Android Studio and MNIST. Learn to code and build apps! Use machine learning models in hands-on projects.  

    A wildly successful Kickstarter funded this course

    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, and how to use PyCharm 2017.2.3 and Android Studio 3 to build apps. 

    A machine learning framework for everyone

    If you want to build sophisticated and intelligent mobile apps 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 to no courses on big platforms that focus on mobile machine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment.

    We provide clear, concise explanations at each step along the way so that viewers can not only replicate, but also understand and expand upon what I teach. Other courses don’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. 

    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 it’s designed for beginners.

    Jump into a field that has more demand than supply

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

    "This course is GREAT! This is what I want!" -- Rated 5 Stars by Mammoth Interactive Students

    Enroll Now While On Sale

    Who this course is for:

    • Anyone who wants to use machine learning in a mobile environment

    User Reviews
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    Focused display
    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
    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.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 52
    • duration 8:28:05
    • English subtitles has
    • Release Date 2024/05/05