Full-Stack Deep Learning with Python
With Janani Ravi
Liked by 89 users
Duration: 1h 58m
Skill level: Advanced
Released: 2/6/2024
Course details
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.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Learner reviews
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Mark Pearson
Mark Pearson
Senior Software Developer |.Net| SQL Server| All Rounder Looking for any work Contract Or Perm
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Kennedy Wahome
Kennedy Wahome
Building autonomous vehicle | Robotics Researcher | Embedded Systems | Machine Learning & AI
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
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