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
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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

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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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