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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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