Basic API of AutoKeras

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prerequisites
basic Python, pandas, Matplotlib, NumPy, SciPy, scikit-learn, and deep learning/Keras
skills learned
task and Functional API of AutoKeras • training deep learning models automatically with AutoKeras
Xiaotian Han
1 week · 4-6 hours per week · INTERMEDIATE
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In this liveProject, you’ll learn how to use the Task and Functional API of Keras to build an automated deep learning model for image classification. This AutoML approach will allow you to avoid time spent selecting and tuning your deep learning algorithms. You’ll work with the detailed CIFAR dataset of animal images which is easy to access through the TensorFlow Keras API.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

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

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