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

Hands-On Machine Learning: Learn TensorFlow, Python, & Java!, available at $19.99, has an average rating of 4.15, with 62 lectures, based on 16 reviews, and has 270 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone who wants to use machine learning in a mobile environment It is particularly useful for Anyone who wants to use machine learning in a mobile environment.

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

Summary

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

Price: $19.99

Average Rating: 4.15

Number of Lectures: 62

Number of Published Lectures: 62

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 62

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

Anyone who wants to use machine learning in a mobile environment

Target Audiences

Anyone who wants to use machine learning in a mobile environment

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

Course Curriculum

Chapter 1: Update! Resources

Lecture 1: Resources

Chapter 2: Intro to Android Studio

Lecture 1: Intro to Android and Topics List

Lecture 2: Downloading and Installing Android Studio

Lecture 3: Exploring Interface

Lecture 4: Setting up Emulator and Running Project

Chapter 3: Intro to Java

Lecture 1: Java Language Basics

Lecture 2: Variable Types

Lecture 3: Operations on Variables

Lecture 4: Arrays and Lists

Lecture 5: Array and List Operations

Lecture 6: If and Switch Statements

Lecture 7: While Loops

Lecture 8: For Loops

Lecture 9: Functions Intro

Lecture 10: Parameters and Return Values

Lecture 11: Classes and Objects Intro

Lecture 12: Superclass and Subclasses

Lecture 13: Static Variables and Axis Modifiers

Chapter 4: Intro to App Development

Lecture 1: Intro to Android App Development

Lecture 2: Building Basic User Interface

Lecture 3: Connecting UI to Backend

Lecture 4: Implementing Backend and Tidying UI

Chapter 5: Intro to ML Concepts

Lecture 1: ML Concepts Intro

Lecture 2: Intro to PyCharm and Topics List

Lecture 3: Installing PyCharm and Python

Lecture 4: Exploring PyCharm

Lecture 5: (Files) Source Code

Chapter 6: Python Language Basics

Lecture 1: Intro to Variables

Lecture 2: Variables Operations and Conversions

Lecture 3: Collection Types

Lecture 4: Collections Operations

Lecture 5: Control Flow: If Statements

Lecture 6: While and For Loops

Lecture 7: Functions

Lecture 8: Classes and Objects

Lecture 9: (Files) Source Code

Chapter 7: Intro to TensorFlow

Lecture 1: TensorFlow Intro

Lecture 2: Topics List

Lecture 3: Installing TensorFlow

Lecture 4: FAQ: Help with TensorFlow Installation

Lecture 5: Importing TensorFlow to PyCharm

Lecture 6: Constant Nodes and Sessions

Lecture 7: Variable Nodes

Lecture 8: Placeholder Nodes

Lecture 9: Operation Nodes

Lecture 10: Loss, Optimizers, and Training

Lecture 11: Building a Linear Regression Model

Lecture 12: (Files) Source Code

Chapter 8: Simple MNIST

Lecture 1: Simple MNIST Intro and Demo

Lecture 2: Topics List and Intro to MNIST Data

Lecture 3: Building Computational Graph

Lecture 4: Training and Testing the Model

Lecture 5: Save & Freeze Graph for Android Import

Lecture 6: Setting up Android Studio Project

Lecture 7: Building User Interface

Lecture 8: Loading Digit Images

Lecture 9: Formatting Image Data

Lecture 10: Making Prediction Using Model

Lecture 11: Displaying Results and Summary

Lecture 12: (Files) Source Code

Lecture 13: Please rate this course

Lecture 14: Bonus Lecture: Newsletter

Instructors

Mammoth Interactive
Top-Rated Instructor, 3.3 Million+ Students
John Bura
Best Selling Instructor Web/App/Game Developer 1Mil Students

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 4 votes
4 stars: 5 votes
5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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