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Full-Stack Deep Learning with Python / with Janani Ravi

LinkedIn Learning Available online

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Format:
Video
Author/Creator:
Ravi, Janani, speaker.
Contributor:
linkedin.com (Firm)
Language:
English
Genre:
Instructional films.
Educational films.
Physical Description:
1 online resource
Place of Publication:
Carpenteria, CA : linkedin.com, 2024.
System Details:
digital
Summary:
Increase your knowledge and get a hands-on understanding of full-stack deep learning with Python.
If you seek a more in-depth understanding of deep learning and Python, this hands-on course can help you. In this course, certified Google cloud architect and data engineer Janani Ravi guides you through the intricacies of full-stack deep learning with Python. After a review of full stack deep learning, MLOps, and MLflow, dive into setting up your environment on Google Colab and running MLflow. Learn how to load and explore a dataset, as well as how to log metrics, parameters, and artifacts. Explore model training, evaluation, and hyperparameter tuning. Plus, go over model deployment and predictions.
Participant:
Presenter: Janani Ravi
Notes:
2/06/2024
Access Restriction:
Restricted for use by site license.

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