Скачать или смотреть Training the Model from "Deep Learning with Structured Data" Workshop - Mark Ryan - at

A hands-on introduction to deep learning with Keras. Learn how to train models with real-world data & use callbacks for efficient training.

In this live, 3-hour session you will have the chance to predict if your streetcar is late or not using the publicly available TTC delay data from 2014-2019. You will achieve this by training a Keras deep learning model.

By working through a series of practical exercises, you will explore the Python code that builds and trains the model. Specifically, you will learn about:
the difference between the Keras sequential and functional APIs
how to build a pipeline derived from scikit-learn pipeline classes
how to train a Keras deep learning model, including how to use callbacks to make the training process more efficient
how to assess the performance of your deep learning model

Participants will get access to a cloud environment where they can work through and experiment with the code. You will get the most out of the exercises if you have some experience with Python and Jupyter notebooks, but the session is open to anybody.

If you are curious about deep learning and want some direct, hands-on experience, this will be a fun opportunity to get a taste of this powerful technology.

For the preparation instructions and the presentation that describes the hands-on session: https://github.com/ryanmark1867/dl_st...

The overall repo: https://github.com/ryanmark1867/dl_st...

Learn more about our workshops and conferences by visiting our website: aigeeks.org