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End-to-End Deep Learning

Train a DL Model

This project is part of the liveProject series End-to-End Deep Learning for Price Prediction.
prerequisites
intermediate Python • basics of pandas • basics of scikit-learn and Keras
skills learned
use Keras to interface with TensorFlow • utilize Keras callbacks • track and assess model performance
Mark Ryan
1 week · 10 hours per week · INTERMEDIATE
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liveProject This project is part of the liveProject series End-to-End Deep Learning for Price Prediction. liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save: $10 (33%)
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In this liveProject, you’ll create and train your deep learning model to predict where a new Airbnb listing will be priced above or below average pricing. You’ll put pandas, Keras, and scikit-learn into action, and master key deep learning techniques for tracking model performance. You’ll learn to harness callbacks in the Keras deep learning framework to make model training more efficient, and how to ensure consistent results in multiple training runs.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Mark Ryan
Mark Ryan has a Bachelor in Computer Science from the University of Waterloo and an MSc in Computer Science (with a specialty in Artificial Intelligence) from the University of Toronto. As a senior leader for IBM's Db2 relational database, he was immersed in structured, tabular data. Mark is currently a Data Science Manager at Intact Insurance. In addition to deep learning, Mark's interests include chatbots and transformer-based language models.

prerequisites

This liveProject is for intermediate data scientists looking to expand their skill set with applied deep learning capabilities. To begin this liveProject, you will need to be familiar with:

TOOLS
  • Intermediate Python
  • Beginner pandas
  • Beginner scikit-learn
  • Beginner/Intermediate Keras
  • Familiarity with Google Colab
  • Familiarity with Jupyter Notebook
TECHNIQUES
  • Deep learning model layer assembly
  • Deep learning model training
  • Trained deep learning model one-off scoring

you will learn

In this liveProject, you’ll master powerful Python tools for training machine learning models. You’ll also learn useful Python concepts that will ensure that the application you build is robust and easy to maintain.

  • Use Keras to interface with TensorFlow
  • Adapt pipeline classes to encapsulate data preparation steps
  • Utilize Keras callbacks
  • Track and assess model performance

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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