ML Study Jam: Intro to Deep Learning

Use TensorFlow and Keras to build and train neural networks for structured data.

Jul 15, 2023, 3:00 – 6:00 PM

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RSVP'd

Key Themes

AIKaggleMachine LearningTensorFlow

About this event

Welcome to Kaggle's Introduction to Deep Learning course! You're about to learn all you need to get started  building your own deep neural networks. Using Keras and Tensorflow you'll learn how to:

  • create a fully-connected neural network architecture
  • apply neural nets to two classic ML problems: regression and classification
  • train neural nets with stochastic gradient descent, and
  • improve performance with dropout, batch normalization, and other techniques

The tutorials will introduce you to these topics with fully-worked examples, and then in the exercises, you'll explore these topics in more depth and apply them to real-world datasets.

To check the learning material in advance, check Kaggle's microcourse πŸ‘‡ :

https://www.kaggle.com/learn/intro-to-deep-learning

Let's get started!

Prerequisites:

1. Have access to a Browser (preferably Google Chrome)

2. Sign up to Kaggle

3. Eager to Learn !!!

4.Have Completed the courses:


Speaker

  • Henry Ruiz

    GDE

    Machine Learning GDE

Host

  • Ndidi Obinwanne

    University of Alberta

    Graduate Teaching Assistant

Organizers

  • Xinli Cai

    Canadian Centre for Mapping and Earth Observation

    GDG Organizer

  • Rohan Saha

    Event & Technical

  • Vannia Hnatiuk

    GDG Cloud Edmonton

    GDG Organizer

  • Devipriya Raju

    University of Alberta

    Co-organiser

  • Ndidi Obinwanne

    Co - Organizer

  • Temitope Ajiboye

    Jesta IS

    Senior Flutter Developer

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