In this 2-hour long guided project, we will use Keras Tuner to find optimal hyperparamters for a Keras model. Keras Tuner is an open source package for Keras which can help machine learning practitioners automate Hyperparameter tuning tasks for their Keras models. The concepts learned in this project will apply across a variety of model architectures and problem scenarios. Please note that we are going to learn to use Keras Tuner for hyperparameter tuning, and are not going to implement the tuning algorithms ourselves. At the time of recording this project, Keras Tuner has a few tuning algorithms including Random Search, Bayesian Optimization and HyperBand.
(68 reviews)
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What you'll learn
Create and run hyperparameter tuning experiments using Keras Tuner
Create and use Custom Keras Tuners
Skills you'll practice
Details to know
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction
Installing Keras Tuner and Downloading the Data
Creating the Model
Hyperparameters
Keras Tuner
Training Results
Recommended experience
Prior programming experience in Python. Conceptual understanding of Neural Networks. Prior experience with TensorFlow and Keras.
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Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Reviewed on Jul 27, 2023
It is good enough to know about Keras Tuner. Thank you.
Reviewed on Jan 1, 2022
Very beneficial for deep learning with Keras practitioners. I loved it, and will be using it as a reference subsequently.
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