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

GDG London
Wed, Feb 3, 2021, 6:00 PM (GMT)

71 RSVP'ed

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.

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.

Facilitators

Moderators

  • Jana Hokszova

    Jana Hokszova

    Genesys / GDG Galway

    ML Engineer

    See Bio
  • Shalki Nagpal

    Shalki Nagpal

    GDG Dublin

    Data Warehouse Developer | Data Engineer

    See Bio

Organizers