Deep Learning and Neural Networks with Python

Frank Kane, Founder of Sundog Education, ex-Amazon

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21 Lessons (1h 23m)
    • 1. Course Introduction

      2:15
    • 2. Getting Started and Prerequisites

      11:43
    • 3. Please Follow Me on Skillshare!

      0:16
    • 4. The History of Artificial Neural Networks

      11:14
    • 5. Hands-On in the Tensorflow Playground

      12:00
    • 6. Deep Learning Details

      9:29
    • 7. Introducing Tensorflow

      12:39
    • 8. Using Tensorflow for Handwriting Recognition, Part 1

      8:15
    • 9. Using Tensorflow for Handwriting Recognition, Part 2

      13:21
    • 10. Introducing Keras

      13:33
    • 11. Using Keras to Learn Political Affiliations

      12:05
    • 12. Convolutional Neural Networks

      11:28
    • 13. Using CNN's for Handwriting Recognition

      8:02
    • 14. Recurrent Neural Networks

      11:02
    • 15. Using RNN's for Sentiment Analysis

      9:37
    • 16. Transfer Learning

      12:14
    • 17. The Ethics of Deep Learning

      11:02
    • 18. Deep Learning Project Intro

      4:48
    • 19. Deep Learning Project Solution

      4:29
    • 20. Deep Learning: Learning More

      1:44
    • 21. Let's Stay in Touch

      0:46
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About This Class

It's hard to imagine a hotter technology than deep learning, artificial intelligence, and artificial neural networks. If you've got some Python experience under your belt, this course will de-mystify this exciting field with all the major topics you need to know. 

We'll cover:

  • Artificial Neural Networks
  • Multi-Layer Perceptions
  • Tensorflow
  • Keras
  • Convolutional Neural Networks
  • Recurrent Neural Networks

And it's not just theory! In addition to the class project, as you go you'll get hands-on with some smaller activities and exercises:

  • Building neural networks for handwriting recognition
  • Learning how to predict a politician's political party based on their votes
  • Performing sentiment analysis on real movie reviews
  • Interactively constructing deep neural networks and experimenting with different topologies

A few hours is all it takes to get up to speed, and learn what all the hype is about. If you're afraid of AI, the best way to dispel that fear is by understanding how it really works - and that's what this course delivers.

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