AutoKeras

Customize AutoKeras Blocks 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
customizing an AutoKeras block for CIFAR-10 image classification • designing a hyperblock for model selection
Xiaotian Han
1 week · 4-6 hours per week · INTERMEDIATE
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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%)
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Look inside

In this liveProject, you’ll build an AutoKeras block for image classification to help tune a neural network and customize the search space. You’ll then combine the block you have created with other prebuilt AutoKeras blocks to put together a complete automated machine learning 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 image data processing

you will learn

In this liveProject, you’ll finalize an image processing classifier with AutoKeras and automated machine learning.


  • Customizing an AutoKeras block for CIFAR-10 image classification
  • Designing a hyperblock for model selection

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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