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Intro to TensorFlow - For iOS & Android

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

Created byMammoth Interactive, John Bura

Last updated 5/2018

English

English [Auto],

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

Course content

20 sections • 106 lectures • 14h 20m total length

Course Trailer0:40
Intro to Tensorflow - For iOS & Android

Intro to Android2:25
Watch a basic intro video about myself and the languages and technology that we will use throughout
Downloading & Installing Android Studio6:44
With Android Studio you can install and run apps faster than with a physical device. This powerful emulator lets you test your app on virtually any Android device configuration
Exploring Interface12:12
Ready, set, go! - explore the interface
Setting up Emulator and Running Project6:43
Add a simulator and build simple User Interfaces (UIs) in Android Studio

Java Language Basics2:46
Learn Java language fundamentals - a wannabe coder should start here
Variable Types14:00
A variable is an object that can have a name, type, and value. Let's learn all about variables!
Operations on Variables10:49
Arrays and Lists9:26
Arrays are lists of items. They typically contain variables, but they can contain a variety of different items. They can even contain other arrays, creating multi-dimensional arrays!

If you want to group together a bunch of variables, such as numbers in a list, an array is the best way to represent that. An array represents a group or list of items as one unit.

Suppose you have five integers. Instead of calling each one separately, you can store them in a list and reference them together.
Array and List Operations8:00
If and Switch Statements11:34
An if statement tests a condition, such as if a variable equals something, is greater than something, or is true.

Switch statements test a value, typically of a variable. They contain cases with unique code to execute depending on which value the variable contains.
While Loops10:09
For Loops8:51
Explore for loops and their variants, including while loops and for each, using arrays to compute a running balance from a list of transactions.
Functions Intro8:39
Functions are blocks of code that execute tasks. A function can be called multiple times to perform the same task. An example of the task is assigning a variable, calculating an equation, or looping through code.

Functions are useful for containing a lot of code that needs to be executed many times. You can populate a function with code and then call the function name to perform a task repeatedly.
Parameters and Return Values7:05
Classes and Objects Intro12:14
Classes create instances (objects) that have unique behaviors and properties. When you build projects, much of your code will need to go in classes.
Superclass and Subclasses11:42
Explore the superclass and subclass relationship and inheritance in Java, including constructors, method overriding, and accessing superclass properties through a concrete strobe light example.
Static Variables and Axis Modifiers7:27
Learn how static variables belong to the class itself, not to instances, and how access modifiers private, protected, public, and default control visibility.

Intro to Android App Development1:57
In this section we will build and run Android projects. Let's get started
Building User Interface12:15
Connecting UI to Backend6:12
Connect the user interface elements to the backend by wiring an edit text and a text view in the main activity, initialize them, and access their attributes.
Implementing Backend and Tidying UI9:09
Implement a simple Android text flow by reading input from an edit text, displaying it in a text view, then beautify the UI with colors, padding, and constraint layouts.

ML Concepts Intro2:01
Discover machine learning concepts:
Understand what machine learning is and compare it to Artificial Intelligence (AI)
Discover applications of machine learning and where we use machine learning daily
Explore different machine learning mechanisms and commonly used algorithms
Intro to PyCharm2:40
Master the basics: become an expert in Python and Java while learning core machine learning concepts
Installing PyCharm and Python6:55
Here we will install PyCharm and explore the interface

Enroll now to get started!
Exploring PyCharm7:48
Explore PyCharm and the Python language
(Files) Source Code0:02
Get here -- source code for PyCharm projects of this course!

Intro to Variables13:17
What are Python variables? Let’s learn all about them! In this tutorial, you’ll learn how to use Python variables to code.
Variables Operations and Conversions12:35
Collection Types12:47
Explore Python collections by examining tuples, lists, and dictionaries, comparing mutability, accessing elements by index or key, and using an inventory example to illustrate practical operations.
Collections Operations8:42
Study how to work with tuples, lists, and dictionaries through retrieval, modification, addition, and deletion, plus common operations like length, min, max, keys, values, and items.
Control Flow: If Statements12:50
While and For Loops10:44
Functions11:23
Learn to declare, implement, and call functions in Python, pass parameters, and return values while exploring scope and practical examples like moving a game character.
Classes and Objects15:40
Learn how to use classes and objects in Python by defining attributes and behaviors, creating new instances with an initializer, and applying dot syntax to access state and methods.
(Files) Source Code0:02
Congratulations! You've completed this section. Get the source code here.

TensorFlow Intro2:53
Explore TensorFlow, a machine learning framework
Topics List6:09
Learn what TensorFlow is and how it makes machine learning development easier
Install TensorFlow and access its libraries through PyCharm
Learn the basic components of TensorFlow
Build a complete computational model
Train and test a model and use it for future prediction
Importing TensorFlow to PyCharm4:25
Constant Nodes and Sessions9:01
Learn how constant nodes store unchanging values in a TensorFlow graph, including value, shape, type, and name. Use sessions to run nodes and print their values, even for multiple constants.
Variable Nodes10:46
Placeholder Nodes7:35
Operation Nodes12:47
Explore operation nodes in TensorFlow, including placeholders, constants, and variables, and learn to build a small computational graph using basic arithmetic and tf-specific operations.
Loss, Optimizers, and Training11:56
Explore loss functions and optimizers in TensorFlow, and how training and testing reduce error. Use gradient descent with learning rate in a linear regression model.
Building a Linear Regression Model20:30
(Files) Source Code0:02

Introduction to TensorFlow Estimator3:08
Learn about the TensorFlow estimator
Learn how the TensorFlow estimator differs from other computational graphs
Learn how to use the estimator
Learn the benefits of using the estimator
Build the same MNIST model using the estimator
Topics List4:12
Explore topics for building a linear regression model with TensorFlow estimators, including the built-in function, a custom estimate, and comparing models with training and testing.
Setting up Prebuilt Estimator Model15:15
Evaluating and Predicting with Model7:42
Learn to evaluate a TensorFlow linear regression model using train and evaluation input functions, measure training and testing losses, and generate predictions from new inputs for iOS and Android apps.
Building Custom Estimator Function10:12
Build a custom TensorFlow estimator function to customize a linear regression model, defining features and labels, and implement training with gradient descent and a global step.
Testing Custom Estimator Function7:00
Explore building and testing a custom estimator function for linear regression in TensorFlow, exporting data, handling training, evaluation, and prediction modes, and comparing with a prebuilt model.
Summary and Model Comparison9:46
Compare three linear regression models—basic linear regression, custom estimator, and prebuilt estimator. Assess lines of code, training, testing, and loss-based accuracy to decide which method fits a given problem.
Source Code0:02
Get here the source code for this section - valued at $100!

Requirements

No experience required!
We will take you through the steps of downloading and installing Android Studio, PyCharm, and Python

Description

This course was funded by a wildly successful Kickstarter

Explore PyCharm 2017.2.3 and the amazing Python 3.6.2 language
Explore Android Studio 3 and the Java 8 language
Discover applications of machine learning and where we use artificial intelligence and algorithms daily
Learn what TensorFlow 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 the TensorFlow estimator differs from other computational graphs

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.

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

Intro to TensorFlow - For iOS & Android

What you'll learn

Explore related topics

Course content

Course Trailer1 lecture • 1min

Update! Resources1 lecture • 1min

Intro to Android Studio4 lectures • 28min

Intro to Java13 lectures • 2hr 3min

Intro to App Development4 lectures • 30min

Intro to Machine Learning Concepts5 lectures • 19min

Python Language Basics9 lectures • 1hr 38min

Intro to TensorFlow10 lectures • 1hr 26min

Machine Learning in Android Studio Projects1 lecture • 5min

Introduction to TensorFlow Estimator8 lectures • 57min

Requirements

Description

Who this course is for: