AutoKeras

Automate Pipeline you own this product

This project is part of the liveProject series Image Classification with AutoKeras
prerequisites
basic Python, pandas, Matplotlib, NumPy, SciPy, scikit-learn, and deep learning/Keras
skills learned
implementing AutoML using the automated data preprocessing API and AutoKeras Task API • customizing sequential and graph-structured AutoML pipelines
Xiaotian Han
1 week · 4-6 hours per week · INTERMEDIATE
filed under
explore NOW view purchase options

placing your order...

Don't refresh or navigate away from the page.
liveProject This project is part of the liveProject series Image Classification with AutoKeras 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%)
Automate Pipeline (liveProject) added to cart
continue shopping
adding to cart

choose your plan

pro

monthly
annual
$24.99
$249.99
only $20.83 per month
  • share your subscription with one other person
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free eBook every time you renew
  • choose twelve free eBooks per year
  • exclusive 50% discount on all purchases
  • Automate Pipeline eBook for free

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free eBook every time you renew
  • choose twelve free eBooks per year
  • exclusive 50% discount on all purchases
  • Automate Pipeline eBook for free
Look inside

In this liveProject, you’ll implement an AutoML pipeline using the AutoKeras functional API. You’ll make use of the built-in blocks in AutoKeras to conduct automated hyperparameter tuning and model selection for creating an image classification model. Your challenges will include customizing both a sequential AutoML pipeline, and customizing graph-structured AutoML Pipeline.

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

Xiaotian Han
Xiaotian Han is a PhD student at Texas A&M University, where he works in the field of data mining and automated machine learning. He has published several research papers related to data mining and automated machine learning and participated in an open-source package, AutoRec, which is highly based on the AutoKeras.

prerequisites

This liveProject is for Python programmers who know the basics of deep learning. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • Basic Python
  • Basic pandas
  • Basic Matplotlib
  • Basic NumPy
  • Basic SciPy
  • Basic scikit-learn
TECHNIQUES
  • Basic deep learning/Keras
  • Basics of AutoKeras

you will learn

In this liveProject, you’ll learn how to customize the search space to different requirements, and use the built-in blocks in AutoKeras to conduct automated hyperparameter tuning.


  • Building AutoML pipelines for image classification
  • Implementing AutoML using the automated data preprocessing API and AutoKeras Task API
  • Customizing sequential and graph-structured AutoML pipelines

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.
RECENTLY VIEWED