In universities and colleges around the world, Google has encouraged the creation of “Google Developer Student Clubs”. To round out the year, Sam Witteveen and I decided to offer our three-part “Back-to-Basic” series to clubs in the South-East Asia region, to introduce them to TensorFlow and Deep Learning.

This session was the second in the three-part series, and focused on Deep Learning for computer vision using CNNs.

Our presentation was in two parts:

  • My initial talk, that :
    • Gave a brief outline of the use-cases for Deep Learning for vision tasks
    • Introduced two new Layers : Conv2d and MaxPool2d
    • Tantalised the group with ‘Representation Learning … Transfer Learning’
  • Sam did a Code-Along using Google Colab, where he lead the audience through :
    • Loading and preparing a dataset beyond MNIST
    • Building and Training a simple CNN model in Keras
    • Doing some analysis of the model outputs

The slides for my talk are here :

Presentation Screenshot

If there are any questions about the presentation please ask below, or contact me using the details given on the slides themselves.

Presentation Content Example

PS: And if you liked the content, please ‘star’ my Deep Learning Workshop repo :: Star

Martin Andrews

{Finance, Software, AI} entrepreneur, living in Singapore with my family.

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