Gant Laborde - Beginning Machine Learning with TensorFlow.js

Gant Laborde - Beginning Machine Learning with TensorFlow.js | INSTANTLY DOWNLOAD ! What you get:Videos and exercises from a Google-certified AI developer ...

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Gant Laborde – Beginning Machine Learning with TensorFlow.js | INSTANTLY DOWNLOAD !

Salepage : Gant Laborde – Beginning Machine Learning with TensorFlow.js

What you get:

  • Videos and exercises from a Google-certified AI developer and experienced instructor
  • An introduction to Machine Learning models, tensors and the TensorFlow.js framework
  • Real-world examples, actionable assignments and quizzes to cement your learning
  • A certificate of completion for your LinkedIn or portfolio
  • A competitive edge in the Machine Learning world by being able to apply these concepts to your business

What you’ll learn:

  • How to implement TensorFlow.js in a web page
  • How to build image recognition systems that run 100% on the client’s browser
  • How to actually apply concepts of Machine Learning in the real business world

    Course Curriculum

    Welcome
    •  
      Preview

      Course Overview (1:53)

    •  
      Preview

      Our Approach (2:39)

    •  
      Start

      Course – Code of Conduct

    Week 1 – Welcome to Machine Learning
    •  
      Preview

      Week 1 – Overview (1:16)

    •  
      Preview

      The Parts – Part 0 (1:44)

    •  
      Start

      The Parts – Part 1 (2:16)

    •  
      Start

      Machine Learning Models (6:16)

    •  
      Start

      Machine Learning Model Quiz

    •  
      Start

      Machine Learning Tensors (2:36)

    •  
      Start

      Machine Learning Tensors Quiz

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      Start

      TensorFlow.js

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      Start

      TensorFlow.js First Contact (12:27)

    •  
      Start

      TensorFlow.js Quiz

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      Start

      Real World Splashdown (4:20)

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      Start

      Welcome to Machine Learning Homework

    •  
      Start

      Welcome to Machine Learning Homework Solution

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      Start

      Week 1 – FAQ

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      Start

      BONUS: face-api.js

    Week 2 – Tensor Acrobatics
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      Start

      Week 2 – Overview (1:22)

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      Start

      A Tour of TensorPlayground.com (5:03)

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      Start

      Meet the Tensor (7:01)

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      Start

      Image Tensor Basics (19:59)

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      Start

      Image to Tensor and Back (7:37)

    •  
      Start

      Intermediate Tensor Manipulation (11:04)

    •  
      Start

      OLD TV Fun Tensor Challenge – Exercise

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      Start

      First Tensors Quiz

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      Start

      Playing with Dogs-N-Cats (14:15)

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      Start

      Advanced Tensor Manipulation (28:38)

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      Start

      Trashy Tensors (8:34)

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      Start

      Second Tensor Quiz

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      Start

      Playground Homework

    •  
      Start

      Playground Homework Solution

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      Start

      Sandbox Homework

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      Start

      Sandbox Homework Solution

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      Start

      Week 2 – FAQ

    •  
      Start

      BONUS: Color Blind Tensors (9:08)

    •  
      Preview

      BONUS: TensorFlow.js Cheat Sheet!

    Week 3 – Using TensorFlow.js
    •  
      Start

      Week 3 – Overview (1:15)

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      Start

      The Rock Paper Scissors Tour (13:04)

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      Start

      FizzBuzz – Consuming Models (31:20)

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      Start

      The Zoo (10:27)

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      Start

      Converting Models (11:16)

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      Start

      Training in Browser – Introduction (23:43)

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      Start

      FizzBuzz – Training In Browser (27:12)

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      Start

      A Tour through Neural Networks (20:10)

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      Start

      Intermediate Tensor Quiz

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      Start

      Convolutions and Max Pooling Images (15:30)

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      Start

      Jargon-lytics

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      Start

      Training in Browser – Deep Dive (30:44)

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      Start

      Using TensorFlow.js Quiz

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      Start

      TFJS Vis – Homework

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      Start

      Week 3 – FAQ

    Final
    •  
      Start

      Review

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      Start

      Beginning Machine Learning with TFJS Final

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      Start

      Thank You from Infinite Red (0:19)

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      Start

      What Next?

    Extras
    •  
      Preview

      Student Hall of Fame

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      Preview

      Credits