Curriculum of our Android Studio, Java and TensorFlow course

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Introduction to Machine Learning + Software

  • An interview with your instructor
  • Intro to the Course (9:56)
  • Update! Resources Folder

Intro to Android Studio

  • Intro and Topics List (2:25)
  • Downloading and Installing Android Studio (6:44)
  • Exploring Interface (12:12)
  • Setting up an Emulator and Running Project (6:43)

Intro to Java

  • Intro to Language Basics (2:46)
  • Variable Types (14:00)
  • Operations on Variables (10:49)
  • Array and Lists (9:26)
  • Array and List Operations (7:59)
  • If and Switch Statements (11:34)
  • While Loops (10:09)
  • For Loops (8:51)
  • Functions Intro (8:39)
  • Parameters and Return Values (7:05)
  • Classes and Objects Intro (12:13)
  • Superclass and Subclasses (11:42)
  • Static Variables and Axis Modifiers (7:27)

Intro to App Development

  • Intro to Android App Development (1:57)
  • Building Basic User Interface (12:15)
  • Connecting UI to Backend (6:12)
  • Implementing Backend and Tidying UI (9:09)

Intro to Machine Learning Concepts

  • Introduction to ML Concepts
  • Downloading and Installing PyCharm and Python (6:55)
  • Exploring PyCharm (7:48)

Python Language Basics

  • Intro and Topics List (2:40)
  • Intro to Variables (13:17)
  • Variables Operations and Conversions (12:35)
  • Collection Types (12:47)
  • Collections Operations (8:42)
  • Control Flow If Statements (12:50)
  • While and For Loops (10:44)
  • Functions (11:23)
  • Classes and Objects (15:40)
  • Source Code

Intro to TensorFlow

  • TensorFlow Intro (2:53)
  • Topics List (6:09)
  • Importing TensorFlow to PyCharm (4:25)
  • Constant Nodes and Sessions (9:01)
  • Variable Nodes (10:45)
  • Placeholder Nodes (7:35)
  • Operation Nodes (12:47)
  • Loss, Optimizers, and Training (11:56)
  • Building a Linear Regression Model (20:30)
  • Source Code

Machine Learning in Android Studio Projects

  • Introduction to Level 2 (5:15)

Introduction to Tensorflow Estimator

  • Introduction (3:08)
  • Topics List (4:12)
  • Setting up Prebuilt Estimator Model (15:15)
  • Evaluating and Predicting with Prebuilt Model (7:42)
  • Building Custom Estimator Function (10:12)
  • Testing Custom Estimator Function (7:00)
  • Summary and Model Comparison (9:46)
  • Source Code

Intro to Android ML Model Import

  • Intro and Demo (4:09)
  • Topics List (4:22)
  • Formatting and Saving Model (8:25)
  • Saving Optimized Graph File (14:48)
  • Starting Android Project (9:01)
  • Building UI (14:56)
  • Implementing Inference Functionality (9:14)
  • Testing and Error Fixing (11:01)
  • Source Files

Simple MNIST

  • Intro and Demo (3:50)
  • Topics List and Intro to MNIST Data (10:24)
  • Building Computational Graph (14:20)
  • Training and Testing Model (14:24)
  • Saving and Freezing Graph for Android Import (12:33)
  • Setting up Android Studio Project (13:07)
  • Building User Interface (15:58)
  • Loading Digit Images (10:02)
  • Formatting Image Data (10:59)
  • Making Prediction Using Model (7:32)
  • Displaying Results and Summary (13:13)
  • Source Files

MNIST With Estimator

  • Introduction (3:08)
  • Topics List (2:38)
  • Building Custom Estimator Function (15:34)
  • Building Input Functions, Training, and Testing (13:38)
  • Predicting Using Model and Model Comparisons (9:37)
  • Source Files

Build Image Recognition Apps

  • Introduction to Building Image Recognition Apps (6:34)

Weather Prediction

  • Intro and Demo (3:49)
  • Tasks List (4:36)
  • Retrieving the Data (14:00)
  • Formatting Data Sets (14:02)
  • Building Computational Graph (11:47)
  • Writing, Training, Testing, and Evaluating Functions (12:24)
  • Training, Testing, and Freezing the Model (9:48)
  • Setting up Android Project (8:05)
  • Building the UI (15:29)
  • Build App Backend and Project Summary (13:46)
  • Source Code

Text Prediction

  • Intro and Demo (4:13)
  • Tasks List (3:17)
  • Processing Text Data (13:18)
  • Building Data Sets and Model Builder Function (16:16)
  • Building Computational Graph (8:37)
  • Writing, Training, and Testing Code (15:11)
  • Training, Testing, and Freezing Graph (12:27)
  • Setting up Android Project (7:41)
  • Setting up UI (5:19)
  • Setting up Vocab Dictionary (8:34)
  • Formatting Input and Running Through Model (7:55)
  • Source Code

Stock Market Prediction

  • Intro and Demo (3:47)
  • Task List (5:17)
  • Retrieving Data via RESTful API Call (16:30)
  • Parsing JSON Data Pycharm Style (6:37)
  • Formatting Data (15:45)
  • Building the Model (13:26)
  • Training and Testing the Model (9:54)
  • Freezing Graph (10:06)
  • Setting up Android Project (6:07)
  • Building UI (8:25)
  • Requesting Data Via AsyncTask (8:25)
  • Parsing JSON Data Android Style (12:04)
  • Running Inference and Displaying Results (17:42)
  • Source Code

Image Analysis with Keras

  • Introduction to Level 4 (9:44)

Simple CIFAR-10

  • Intro and Demo (4:47)
  • Topics List (3:47)
  • Exploring CIFAR-10 Dataset (10:48)
  • Update! CIFAR_10 Android Fix
  • Formatting Input Data (13:13)
  • Building the Model (16:24)
  • Freezing Graph and Training Model (16:56)
  • Setting up the Android Project (16:43)
  • Setting up UI (9:02)
  • Loading and Displaying Image (6:33)
  • Formatting Image Data for Model Input (13:55)
  • Predicting and Displaying Results (13:26)
  • Summary and Outro (6:39)
  • Source Code

Face Detection

  • Intro and Demo (3:20)
  • Tasks List (3:09)
  • Loading Face and Non Face Images (15:56)
  • Reformatting Input Data (11:12)
  • Build Model + Write, Train & Test Scripts (19:12)
  • Freeze Graph + Train & Test Model (14:38)
  • Setting up Android Project (11:49)
  • Setting up UI (7:52)
  • Loading and Display Images (10:11)
  • Formatting Data and Running Inference (12:47)
  • Displaying Results and Summary (8:51)
  • Source Code

Emotions Detection

  • Intro and Demo (3:39)
  • Tasks List (2:34)
  • Loading and Formatting Data (11:13)
  • Build Training and Testing Datasets (6:52)
  • Building the Model (9:57)
  • Build Functions to Train, Test, & Predict (11:58)
  • Training and Testing the Model (11:06)
  • Setting up Android Project (6:33)
  • Importing and Displaying Images (6:25)
  • Convert Images and Run Inference (8:17)
  • Displaying Results and Summary (7:48)
  • Source Code

Increase Efficiency of Machine Learning Models

  • Intro to Increasing ML Efficiency (5:47)
  • Source Code

Introduction to Tensorflow Lite

  • Tensorflow Lite (10:19)

Text Summarizer

  • Introduction (6:22)
  • How a Model Is Built (13:08)
  • Training and Summarizing Mechanisms (9:31)
  • Training and Summarizing Code (7:44)
  • Testing the Model (5:27)
  • Source Code

Object Localization

  • Introduction (4:13)
  • Examining Project Code (15:05)
  • Testing with a Mobile Device (7:30)

Object Recognition

  • Introduction (7:30)
  • Examining Code (22:29)
  • Testing on Mobile Device (5:36)

Intro to Tensorboard

  • Introduction (2:55)
  • Examining Computational Graph In Tensorboard (13:46)
  • Analyzing Scalars and Histograms (13:01)
  • Modifying Model Parameters Across Multiple Runs (10:32)
  • Source Code

Advanced ML Concepts

  • Introduction (18:49)
  • Source Code

Advanced MNIST

  • Intro and Demo (3:42)
  • Topics List (3:41)
  • Building Neuron Functions (11:18)
  • Building the Convolutional Layers (11:51)
  • Building Dense, Dropout, and Readout Layers (14:38)
  • Loss & Optimizer Functions, Training, & Testing (19:51)
  • Optimizing Saved Graph (10:57)
  • Setting up Android Project (12:30)
  • Setting Up UI (10:58)
  • Load and Display Digit Images (6:14)
  • Formatting Model Input (13:52)
  • Displaying Results and Summary (11:11)
  • Source Files

Advanced CIFAR-100

  • Intro and Demo (3:18)
  • Tasks List (3:11)
  • Inputting and Formatting Data (10:50)
  • Building the Model (10:19)
  • Training, Testing, and Freezing Model (10:57)
  • Setting up Android Project (10:24)
  • Building UI (8:09)
  • Loading and Displaying Images (7:03)
  • Converting Image Data & Running Inference (7:37)
  • Summary and Outro (9:29)
  • Source Code

Image Recognition in iOS

  • Introduction and Demo (3:20)
  • Project Setup (6:59)
  • Displaying and Resizing Images (9:42)
  • Converting Image to Pixel Buffer (14:06)
  • Summary and Outro (8:07)
  • Source Code

Intro to iOS

  • Introduction (2:15)
  • Source Code

Xcode Intro

  • Downloading and Installing (6:22)
  • Exploring XCode’s Interface (15:40)

Swift Language Basics

  • Variables Intro (7:57)
  • Variable Operations (10:43)
  • Collections (8:57)
  • Control Flow (10:18)
  • Functions (5:28)
  • Classes and Objects (9:55)

iOS App Development Intro

  • Building App From Start to Finish (12:46)

Intro to CoreML

  • Introduction to CoreML (9:08)

iOS Tensorflow Model Import

  • Introduction (4:35)
  • Converting pb to mlmodel
  • File & Setting up Project (7:34)
  • Running Inference Through Model (9:58)
  • Testing and Summary (3:55)

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New course! A Comprehensive Beginner’s Guide to Coding in Kotlin

Learn to code for Android app development in Mammoth Interactive’s latest course. A Comprehensive Beginner’s Guide to Coding in Kotlin is perfect for beginner coders or anyone wanting to learn Java’s replacement language.

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Kotlin is the brand-new programming language for Android app development that is taking Java by storm. Join programming expert Nimish Narang in this course on the basics of Kotlin. Nimish has extensive experience teaching app development as an instructor at Mammoth Interactive. Start learning to code today in this Number 1 course on Kotlin.

Is this course for me?

This course is devoted to Kotlin’s language basics and comparing the syntax to Java. We target beginners and cover core topics in depth. If you’re an intermediate or advanced coder, you can watch the videos at a faster speed using the Speed tool. We encourage you to follow along with the coding as we show you Kotlin’s unique syntax.

What Will I Learn?

1. The major concepts involved with variables, basic types of variables, more advanced types, Kotlin’s new syntax for variables, and how we can use variables differently in Kotlin than you may have already seen in other programming languages.

2. Collection types, which Kotlin allows us to customize. We’ll begin by looking at the simple collection types and then look at more advanced ones.

3. Control flow. Kotlin has some new statements not found in Java. Kotlin also provides the brand-new ability to turn control flow statements into expressions, which is a powerful capability that has a lot of potential. We will look at the basics and syntax, always relating back to real-life examples.

4. Functions, which have significant syntax differences in Kotlin. Beginners will learn how to use functions, and more advanced developers will benefit from the introduction to Kotlin’s new syntax.

5. Classes, objects, and other structures available in Kotlin.

Why Should I Learn Kotlin?

Kotlin is an innovative programming language for app development. You don’t have to use Java to make Android apps anymore! With Kotlin, you can write concise and powerful code. Kotlin is awesome because it is compatible with existing Java-based technologies.

Throughout the course, we will compare Kotlin and Java. Java is a popular programming language that many developers use to create content for the Web. Kotlin is a lot more syntactically flexible than Java. This allows you to have more fine control over how you write code to accomplish the tasks you want. You can insert an aspect of personality into code and write it how you want it to be read. It’s easy to incorporate Kotlin into existing projects and applications.

What are the requirements?

  • A working computer onto which you can install Kotlin and Android Studio
  • Java coding skills are helpful but not required

Take this course to learn how to code apps faster in an emerging programming language. Enroll today to join the Mammoth community.

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 Stay in touch with us:

Exciting announcements from Mammoth Interactive.

We’re excited to announce our newest courses. Get each for only 19 dollars with these special offers.

Do you want to learn to build beautiful, well-functioning web apps? Join web developer Chris Veillette in this course for beginners to start building web apps today.

Introduction to React and Redux is full of practical examples. We teach you theory while also building real projects that you can put in your web development portfolio. Enroll today to join the Mammoth community.

Introduction to React and Redux. Code Web Apps in JavaScript. 96% off

If you want to learn to code for the web, Beginner’s ES6 Programming is the place to start. Begin your career or hobby in web development today by enrolling in this course.

In Beginner’s ES6 Programming, you will learn the fundamentals of coding in JavaScript, including ES6. You will learn how to change what is displayed on a webpage using JavaScript.

No prior experience in JavaScript is required. 

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In Beginner’s Guide to Elm Programming, web developer Chris Veillette will teach you how to code in the Elm language to build real websites and apps.

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In Mastering Core Image, 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.

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Want to make apps and learn to code? With The Ultimate iOS 11 Course, you too can design and code practical apps from scratch. Expert programmers John Bura, Nimish Narang, and Chris Veillette from Mammoth Interactive will teach you everything you need to know to whet your palette in iOS 11.

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Get perks by supporting our Kickstarter: Hello Coding!

Coding is not as hard as you think.

We at Mammoth Interactive are excited to make our next course series ‘Hello Coding: Anyone can learn to code.’ Please support this project on KICKSTARTER to get limited-edition perks! This series has five levels that take you through a holistic curriculum of development. In Hello Coding, students learn web, app, game, and Artificial Intelligence development.

Hello Coding has 5 levels:

  • Level 1: Introduction to Coding Fundamentals
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Get inspired.

Here are some of the projects you’ll make in our courses.

Our way of teaching makes it easy for everybody to learn to code.

With our audiovisual tutorials, you follow along with your instructor to make apps, sites, and games from scratch. Whether you want to code to train your brain, release your creativity by building your own game, or learn to make websites to better your resume, you can do it with Hello Coding.

Get free courses, t-shirts, and bonus topics by supporting our Hello Coding Kickstarter!

Learn LIVE at our next webinar: Intro to Kotlin, Java’s Replacement for Android App Development

Mammoth Interactive is hosting another live workshop! Learn to code in realtime at our interactive webinar. Join programming expert Nimish Narang for a 1-hour workshop on the basics of Kotlin. Book your spot for Wednesday, July 5 at 10AM PST for just 12 dollars.

Why Kotlin?

Kotlin is Google’s NEW flexible programming language that is taking Android by storm. Kotlin is an innovative programming language for app development. With Kotlin, you can write concise and powerful code. Kotlin is awesome because it is compatible with existing Java-based technologies.

Get complimentary courses!

With your ticket, you’ll also get 2 FREE development courses from Mammoth Interactive. First, you’ll get our Ultimate Xamarin Course, where you learn to build cross-platform apps. Second, you’ll get our NEW “Legend of Zenda” course, where you make a game FROM SCRATCH in Unity3D and Blender.

No coding experience is required.
No paid software is required – Kotlin is FREE to try online.

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