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Mobile Machine Learning: The Complete Masterclass (50 Hours)
Level 1: Introduction to Machine Learning and Software
Course Trailer (0:40)
An interview with your instructor
Intro to the Course (9:56)
Update! Resources Folder
Introduction to Android Studio (0.5 Hours)
Intro and Topics List (2:25)
00. Downloading and Installing Android Studio (6:44)
01. Exploring Interface (12:12)
02. Setting up an Emulator and Running Project (6:43)
Introduction to Java (2 Hours)
00. Intro to Language Basics (2:46)
01. Variable Types (14:00)
02. Operations on Variables (10:49)
03. Array and Lists (9:26)
04. Array and List Operations (7:59)
05. If and Switch Statements (11:34)
06. While Loops (10:09)
07. For Loops (8:51)
08. Functions Intro (8:39)
09. Parameters and Return Values (7:05)
10. Classes and Objects Intro (12:13)
11. Superclass and Subclasses (11:42)
12. Static Variables and Axis Modifiers (7:27)
Introduction to App Development (0.5 Hours)
00. Intro to Android App Development (1:57)
01. Building Basic User Interface (12:15)
02. Connecting UI to Backend (6:12)
03. Implementing Backend and Tidying UI (9:09)
Intro to Machine Learning Concepts
ML Concept Intro
Introduction to Python and PyCharm (0.25 Hours)
00. Downloading and Installing PyCharm and Python (6:55)
01. Exploring PyCharm (7:48)
Source Code
Python Language Basics (1.7 Hours)
Python Language Basics Introduction (2:40)
00. Intro to Variables (13:17)
01. Variables Operations and Conversions (12:35)
02. Collection Types (12:47)
03. Collections Operations (8:42)
04. Control Flow If Statements (12:50)
05. While and For Loops (10:44)
06. Functions (11:23)
07. Classes and Objects (15:40)
Source Code
Introduction to TensorFlow (1.4 Hours)
00. Introduction to TensorFlow (2:53)
01. Topics List (6:09)
02. Importing TensorFlow to PyCharm (4:25)
03. Constant Nodes and Sessions (9:01)
04. Variable Nodes (10:45)
05. Placeholder Nodes (7:35)
06. Operation Nodes (12:47)
07. Loss, Optimizers, and Training (11:56)
08. Building a Linear Regression Model (20:30)
Source Code
Test Your Knowledge: Level 1
Test Your Knowledge: Level 1
Level 2: Machine Learning in Android Studio Projects
Introduction to Level 2 (5:15)
Introduction to Tensorflow Estimator
00. Introduction (3:08)
01. Topics List (4:12)
02. Setting up Prebuilt Estimator Model (15:15)
03. Evaluating and Predicting with Prebuilt Model (7:42)
04. Building Custom Estimator Function (10:12)
05. Testing Custom Estimator Function (7:00)
06. Summary and Model Comparison (9:46)
Source Code
Intro to Android ML Model Import
00. Intro and Demo (4:09)
01. Topics List (4:22)
02. Formatting and Saving Model (8:25)
03. Saving Optimized Graph File (14:48)
04. Starting Android Project (9:01)
05. Building UI (14:56)
06. Implementing Inference Functionality (9:14)
07. Testing and Error Fixing (11:01)
Source Files
Simple MNIST
00. Intro and Demo (3:50)
01. Topics List and Intro to MNIST Data (10:24)
02. Building Computational Graph (14:20)
03. Training and Testing Model (14:24)
04. Saving and Freezing Graph for Android Import (12:33)
05. Setting up Android Studio Project (13:07)
06. Building User Interface (15:58)
07. Loading Digit Images (10:02)
08. Formatting Image Data (10:59)
09. Making Prediction Using Model (7:32)
10. Displaying Results and Summary (13:13)
Source Files
MNIST With Estimator
00. Introduction (3:08)
01. Topics List (2:38)
02. Building Custom Estimator Function (15:34)
03. Building Input Functions, Training, and Testing (13:38)
04. Predicting Using Model and Model Comparisons (9:37)
Source Files
Test Your Knowledge: Level 2
Test Your Knowledge: Level 2
Level 3: Build Image Recognition Apps
Introduction to Building Image Recognition Apps (6:34)
Weather Prediction
00. Intro and Demo (3:49)
01. Tasks List (4:36)
02. Retrieving the Data (14:00)
03. Formatting Data Sets (14:02)
04. Building Computational Graph (11:47)
05. Writing, Training, Testing, and Evaluating Functions (12:24)
06. Training, Testing, and Freezing the Model (9:48)
07. Setting up Android Project (8:05)
08. Building the UI (15:29)
09. Build App Backend and Project Summary (13:46)
Source Code
Text Prediction
00. Intro and Demo (4:13)
01. Tasks List (3:17)
02. Processing Text Data (13:18)
03. Building Data Sets and Model Builder Function (16:16)
04. Building Computational Graph (8:37)
05. Writing, Training, and Testing Code (15:11)
06. Training, Testing, and Freezing Graph (12:27)
07. Setting up Android Project (7:41)
08. Setting up UI (5:19)
09. Setting up Vocab Dictionary (8:34)
10. Formatting Input and Running Through Model (7:55)
Interpreting Results and Summary (8:00)
Source Code
Stock Market Prediction
00. Intro and Demo (3:47)
01. Task List (5:17)
02. Retrieving Data via RESTful API Call (16:30)
03. Parsing JSON Data Pycharm Style (6:37)
04. Formatting Data (15:45)
05. Building the Model (13:26)
06. Training and Testing the Model (9:54)
07. Freezing Graph (10:06)
08. Setting up Android Project (6:07)
09. Building UI (8:25)
10. Requesting Data Via AsyncTask (15:29)
11. Parsing JSON Data Android Style (12:04)
12. Running Inference and Displaying Results (17:42)
Source Code
Test Your Knowledge: Level 3
Test Your Knowledge: Level 3
Level 4: Image Analysis with Keras
Introduction to Level 4 (9:44)
Simple CIFAR-10
00. Intro and Demo (4:47)
01. Topics List (3:47)
02. Exploring CIFAR-10 Dataset (10:48)
Update! CIFAR_10 Android Fix
03. Formatting Input Data (13:13)
04. Building the Model (16:24)
05. Freezing Graph and Training Model (16:56)
06. Setting up the Android Project (16:43)
07. Setting up UI (9:02)
08. Loading and Displaying Image (6:33)
09. Formatting Image Data for Model Input (13:55)
10. Predicting and Displaying Results (13:26)
11. Summary and Outro (6:39)
Source Code
Face Detection
00. Intro and Demo (3:20)
01. Tasks List (3:09)
02. Loading Face and Non Face Images (15:56)
03. Reformatting Input Data (11:12)
04. Build Model + Write, Train & Test Scripts (19:12)
05. Freeze Graph + Train & Test Model (14:38)
06. Setting up Android Project (11:49)
07. Setting up UI (7:52)
08. Loading and Display Images (10:11)
09. Formatting Data and Running Inference (12:47)
10. Displaying Results and Summary (8:51)
Source Code
Emotions Detection
00. Intro and Demo (3:39)
01. Tasks List (2:34)
02. Loading and Formatting Data (11:13)
03. Build Training and Testing Datasets (6:52)
04. Building the Model (9:57)
05. Build Functions to Train, Test, & Predict (11:58)
06. Training and Testing the Model (11:06)
07. Setting up Android Project (6:33)
08. Importing and Displaying Images (6:25)
09. Convert Images and Run Inference (8:17)
10. Displaying Results and Summary (7:48)
Source Code
Test Your Knowledge: Level 4
Test Your Knowledge: Level 4
Level 5: 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
00. Introduction (6:22)
01. How a Model Is Built (13:08)
02. Training and Summarizing Mechanisms (9:31)
03. Training and Summarizing Code (7:44)
04. Testing the Model (5:27)
Source Code
Object Localization
00. Introduction (4:13)
01. Examining Project Code (15:05)
02. Testing with a Mobile Device (7:30)
Object Recognition
00. Introduction (7:30)
01. Examining Code (22:29)
02. Testing on Mobile Device (5:36)
Test Your Knowledge: Level 5
Test Your Knowledge: Level 5
-STRETCH GOALS- Intro to Tensorboard
00. Introduction (2:55)
01. Examining Computational Graph In Tensorboard (13:46)
02. Analyzing Scalars and Histograms (13:01)
03. Modifying Model Parameters Across Multiple Runs (10:32)
Source Code
Advanced ML Concepts
00. Introduction (18:49)
Source Code
Advanced MNIST
00. Intro and Demo (3:42)
01. Topics List (3:41)
02. Building Neuron Functions (11:18)
03. Building the Convolutional Layers (11:51)
04. Building Dense, Dropout, and Readout Layers (14:38)
05. Loss & Optimizer Functions, Training, & Testing (19:51)
06. Optimizing Saved Graph (10:57)
07. Setting up Android Project (12:30)
08. Setting Up UI (10:58)
09. Load and Display Digit Images (6:14)
10. Formatting Model Input (13:52)
11. Displaying Results and Summary (11:11)
Source Files
Advanced CIFAR-100
00. Intro and Demo (3:18)
01. Tasks List (3:11)
02. Inputting and Formatting Data (10:50)
03. Building the Model (10:19)
04. Training, Testing, and Freezing Model (10:57)
05. Setting up Android Project (10:24)
06. Building UI (8:09)
07. Loading and Displaying Images (7:03)
08. Converting Image Data & Running Inference (7:37)
09. Summary and Outro (9:29)
Source Code
Image Recognition in iOS
00. Introduction and Demo (3:20)
01. Project Setup (6:59)
02. Displaying and Resizing Images (9:42)
03. Converting Image to Pixel Buffer (14:06)
04. Summary and Outro (8:07)
Source Code
Intro to iOS
00. Introduction (2:15)
Source Code
--01. Xcode Intro
00. Downloading and Installing (6:22)
01. Exploring XCode's Interface (15:40)
--02. Swift Language Basics
00. Variables Intro (7:57)
01. Variable Operations (10:43)
02. Collections (8:57)
03. Control Flow (10:18)
04. Functions (5:28)
05. Classes and Objects (9:55)
--03. iOS App Development Intro
Building App From Start to Finish (12:46)
--04. Intro to CoreML
Introduction to CoreML (9:08)
--05. iOS Tensorflow Model Import
00. Introduction (4:35)
01. Converting pb to mlmodel File & Setting up Project (7:34)
02. Running Inference Through Model (9:58)
03. Testing and Summary (3:55)
Project Code
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05. Build Functions to Train, Test, & Predict
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