TensorFlow, Keras and Deep learning, without a PhD - Workshop

In this codelab, you will learn how to build and train a neural network that recognises handwritten digits. Along the way, as you enhance your neural network to achieve 99% accuracy, you will also discover the tools of the trade that deep learning professionals use to train their models efficiently.

Feb 3, 2021, 6:00 – 8:00 PM

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Key Themes

CloudMachine Learning

About this event

In this codelab, you will learn how to build and train a neural network that recognises handwritten digits. Along the way, as you enhance your neural network to achieve 99% accuracy, you will also discover the tools of the trade that deep learning professionals use to train their models efficiently.

This codelab uses the MNIST dataset, a collection of 60,000 labeled digits that has kept generations of PhDs busy for almost two decades. You will solve the problem with less than 100 lines of Python / TensorFlow code.

What you'll learn

- What is a neural network and how to train it

- How to build a basic 1-layer neural network using tf.keras

- How to add more layers

- How to set up a learning rate schedule

- How to build convolutional neural networks

- How to use regularisation techniques: dropout, batch normalization

- What is overfitting

What you'll need

Just a browser. This workshop can be run entirely with Google Colaboratory.

Facilitator

  • Ricardo Diaz

    CGG / GDG London

    ML Engineer

Moderators

  • Jana Hokszova

    Genesys / GDG Galway

    ML Engineer

  • Shalki Nagpal

    GDG Dublin

    Data Warehouse Developer | Data Engineer

Organizers

  • Renuka Kelkar

    techpowergirls

    GDG Organizer

  • Sumith Damodaran

    sitecore

    PM / GDG Organizer

  • Jai Campbell

    Wipro

    Senior Architect / GDG Organizer

  • Chris Bouloumpasis

    GDG Organizer

  • Goran Minov

    Okta

    Team Lead | GDG Organizer

  • Inès Rigaud

    GDG Organizer

  • chinmayee murugkar

    GDG Organizer

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