Title: Deep Learning and Neural Networks with Python
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Deep Learning and Neural Networks with Python

Description

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
  • Variational Auto-Encoders (VAE's)
  • Generative Adversarial Networks (GAN's)

    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
    • Creating synthetic images of clothing

      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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4 hours 24 minutes

Deep Learning and Neural Networks with Python

Affiliate notice

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
  • Variational Auto-Encoders (VAE's)
  • Generative Adversarial Networks (GAN's)

    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
    • Creating synthetic images of clothing

      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.