The Complete TensorFlow Masterclass Machine Learning Models
  • ondemand_video
       Video Length : 20h20m0s
  • format_list_bulleted
       Tasks Number : 142
  • group
       Students Enrolled : 1621
  • equalizer
       Medium Level
  • Curriculum
  • 1. Android Studio
    • videocam
      What will we do in Android Studio?
      10m0s
    • videocam
      Downloading and Installing Android Studio
      10m0s
    • videocam
      Exploring Interface
      10m0s
    • videocam
      Setting up Emulator and Running Project
      10m0s
  • 2. Java
    • videocam
      Java Language Basics
      10m0s
    • videocam
      Variable Types
      10m0s
    • videocam
      Operations you can perform on variables
      10m0s
    • videocam
      Lists and Arrays
      10m0s
    • videocam
      Operations you can perform on lists & arrays
      10m0s
    • videocam
      If Statements and Switch Statements
      10m0s
    • videocam
      While Loops
      10m0s
    • videocam
      For Loops
      10m0s
    • videocam
      Functions
      10m0s
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      Parameters and Return Values
      10m0s
    • videocam
      Classes and Objects Intro
      10m0s
    • videocam
      Superclass and Subclasses
      10m0s
    • videocam
      Static Variables and Axis Modifiers
      10m0s
  • 3. Challenge! Java Coding Exercises
    • videocam
      Declaring Fields
      10m0s
    • videocam
      Declaring Methods
      10m0s
    • videocam
      Hello Mammoth
      10m0s
    • videocam
      Print "Hello Mammoth"
      10m0s
  • 4. App Development
    • videocam
      Android App Development
      10m0s
    • videocam
      Building User Interface
      10m0s
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      Connecting UI to Backend
      10m0s
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      Implementing Backend and Tidying UI
      10m0s
  • 5. Machine Learning Concepts
    • videocam
      Intro to ML Concepts
      10m0s
    • videocam
      What will we do in Pycharm?
      10m0s
    • videocam
      Installing Pycharm and Python
      10m0s
    • videocam
      Exploring Pycharm
      10m0s
    • videocam
      Source Code
      10m0s
  • 6. Python {Language Basics}
    • videocam
      Variables
      10m0s
    • videocam
      Variables Operations and Conversions
      10m0s
    • videocam
      Collection Types
      10m0s
    • videocam
      Operations you can perform on collections
      10m0s
    • videocam
      Control Flow: If Statements
      10m0s
    • videocam
      While and For Loops
      10m0s
    • videocam
      Functions
      10m0s
    • videocam
      Classes and Objects
      10m0s
    • videocam
      Source Code
      10m0s
  • 7. Challenge! Python Coding Exercises
    • videocam
      Hello Mammoth
      10m0s
    • videocam
      ​Declaring Variables​
      10m0s
    • videocam
      Calling Functions
      10m0s
    • videocam
      Declaring a Class
      10m0s
  • 8. TensorFlow
    • videocam
      What is TensorFlow?
      10m0s
    • videocam
      What will I learn in this section?
      10m0s
    • videocam
      Importing TensorFlow to Pycharm
      10m0s
    • videocam
      Constant Nodes and Sessions
      10m0s
    • videocam
      Variable Nodes
      10m0s
    • videocam
      Placeholder Nodes
      10m0s
    • videocam
      Operation Nodes
      10m0s
    • videocam
      Loss, Optimizers, and Training
      10m0s
    • videocam
      Building a Linear Regression Model
      10m0s
    • videocam
      Source Code
      10m0s
  • 9. Machine Learning in Android Studio Projects
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      Machine Learning for Android
      10m0s
  • 10. TensorFlow Estimator
    • videocam
      TensorFlow Estimator Introduction
      10m0s
    • videocam
      Project Outline
      10m0s
    • videocam
      Setting up Prebuilt Estimator Model
      10m0s
    • videocam
      Evaluating and Predicting with Model
      10m0s
    • videocam
      Building Custom Estimator Function
      10m0s
    • videocam
      Testing Custom Estimator Function
      10m0s
    • videocam
      Summary and Model Comparison
      10m0s
    • videocam
      Source Code
      10m0s
  • 11. Import a Machine Learning Model
    • videocam
      Demonstration: Importing a Model
      10m0s
    • videocam
      Project Outline
      10m0s
    • videocam
      Formatting and Saving Model
      10m0s
    • videocam
      Saving Optimized Graph File
      10m0s
    • videocam
      Starting Android Project
      10m0s
    • videocam
      Building UI
      10m0s
    • videocam
      Implementing Inference Functionality
      10m0s
    • videocam
      Testing and Error Fixing
      10m0s
    • videocam
      Source Code
      10m0s
  • 12. Simple MNIST
    • videocam
      Intro & Demo: Simple MNIST
      10m0s
    • videocam
      Project Outline and MNIST Data Intro
      10m0s
    • videocam
      Building Computational Graph
      10m0s
    • videocam
      Training and Testing Model
      10m0s
    • videocam
      Saving Graph for Android Import
      10m0s
    • videocam
      Setting up Android Studio Project
      10m0s
    • videocam
      Building User Interface
      10m0s
    • videocam
      Loading Digit Images
      10m0s
    • videocam
      Formatting Image Data
      10m0s
    • videocam
      Making Prediction Using Model
      10m0s
    • videocam
      Displaying Results and Summary
      10m0s
    • videocam
      Source Code
      10m0s
  • 13. MNIST With Estimator
    • videocam
      MNIST With Estimator Intro
      10m0s
    • videocam
      Project Outline
      10m0s
    • videocam
      Building Custom Estimator Function
      10m0s
    • videocam
      Training & Testing Input Functions
      10m0s
    • videocam
      Predicting Using Model & Comparisons
      10m0s
    • videocam
      Source Code
      10m0s
  • 14. Advanced MNIST
    • videocam
      Demonstration: Advanced MNIST
      10m0s
    • videocam
      Project Outline
      10m0s
    • videocam
      Building Neuron Functions
      10m0s
    • videocam
      Building Convolutional Layers
      10m0s
    • videocam
      Dense, Dropout, & Readout Layers
      10m0s
    • videocam
      Loss & Optimizer + Training & Testing
      10m0s
    • videocam
      How to Optimize a Saved Graph
      10m0s
    • videocam
      Setting up Android Project
      10m0s
    • videocam
      Setting up UI
      10m0s
    • videocam
      Load and Display Digit Images
      10m0s
    • videocam
      Formatting Model Input
      10m0s
    • videocam
      Displaying Results and Summary
      10m0s
    • videocam
      Source Code
      10m0s
  • 15. Tensorboard
    • videocam
      Tensorboard Intro
      10m0s
    • videocam
      Examining Computational Graph In Tensorboard
      10m0s
    • videocam
      Analyzing Scalars and Histograms
      10m0s
    • videocam
      Modifying Model Parameters Across Multiple Runs
      10m0s
    • videocam
      Source Code
      10m0s
  • 16. Make ML Models More Efficient
    • videocam
      Improving Model Efficiency: Introduction
      10m0s
    • videocam
      Source Code
      10m0s
  • 17. Tensorflow Lite
    • videocam
      Tensorflow Lite Intro
      10m0s
  • 18. Text Summarizer
    • videocam
      Text Summarizer Intro
      10m0s
    • videocam
      How a Model Is Built
      10m0s
    • videocam
      Training & Summarizing Mechanisms
      10m0s
    • videocam
      Training and Summarizing Code
      10m0s
    • videocam
      Testing the Model
      10m0s
    • videocam
      Source Code
      10m0s
  • 19. Object Localization
    • videocam
      Object Localization Intro
      10m0s
    • videocam
      Examining Project Code
      10m0s
    • videocam
      Testing with a Mobile Device
      10m0s
  • 20. Object Recognition
    • videocam
      Object Recognition Intro
      10m0s
    • videocam
      Examining Code
      10m0s
    • videocam
      Testing on Mobile Device
      10m0s
Authors

Kevin Gautama is a systems design and programming engineer with 16 years of expertise in the fields of electrical and electronics and information technology.

He teaches at the Hanoi University of Industry in the period 2003-2011 and he has a certificate of vocational training by the Ministry of Industry and Commerce and the Hanoi University of Industry.

From extensive design experience through numerous engineering projects, the author founded the Enziin Academy.

The Enziin Academy is a startup in the field of educational, it's core goal is to training design engineers in the fields technology related.

The Enziin Academy is headquartered in Stockholm-Sweden with an orientation operating multi-lingual and global.

The author's skills in IT:

  • Implementing the application infrastructure on Amazon's cloud computing platform.
  • Linux server system administration (Sysadmin).
  • Design load balancing and content distribution system.
  • MySQL database administration.
  • C/C++/C# Programming
  • Ruby and Ruby on Rails Programming
  • Python and Django Programming
  • The WPF/C# on the .NET Framework Programming
  • The PHP/JAVA Programming
  • Machine Learning and Expert System.
  • Internet of Things.

The author's skills in the fields of electric and electronic:

  • The design of popular CPU / MCU systems.
  • Design FPGA / CPLD system (Xilinx - Altera).
  • Design and programming of DSP systems (Texas Instruments).
  • Embedded ARM system design.
  • The RTOS Programming
  • Design and programming electronic power systems.
  • PLC - inverter - sensor - electric control cabinet industrial.
  • Control systems distributed connection with Server.

Read more...

The Complete TensorFlow Masterclass Machine Learning Models


The Complete TensorFlow Masterclass Machine Learning Models

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