Advanced Deployment Scenarios with TensorFlow
Master advanced TensorFlow deployment techniques including serving, model sharing, and federated learning.
Master advanced TensorFlow deployment techniques including serving, model sharing, and federated learning.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full TensorFlow: Data and Deployment Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Use TensorFlow Serving for web-based model inference
Navigate and utilize TensorFlow Hub for transfer learning
Evaluate and visualize models using TensorBoard
Implement federated learning for private data training
Deploy models in production environments
Skills you'll gain
This course includes:
1.3 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This advanced course covers essential aspects of deploying machine learning models in real-world scenarios using TensorFlow. Students learn to use TensorFlow Serving for web-based inference, leverage pre-trained models through TensorFlow Hub for transfer learning, utilize TensorBoard for model evaluation and visualization, and implement federated learning for privacy-preserving model training. The curriculum emphasizes practical implementation through hands-on assignments and real-world deployment scenarios.
TensorFlow Extended
Module 1 · 1 Hours to complete
Sharing pre-trained models with TensorFlow Hub
Module 2 · 5 Hours to complete
Tensorboard: tools for model training
Module 3 · 4 Hours to complete
Federated Learning
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Pioneering AI Educator and Best-Selling Author
Laurence Moroney is an award-winning artificial intelligence researcher and best-selling author dedicated to making AI and machine learning accessible to everyone. As an instructor at DeepLearning.AI, he has taught millions through MOOCs and YouTube, while also serving as a keynote speaker at various events. Moroney is a fellow of the AI Fund and advises several AI startups, leveraging his expertise to foster innovation in the field. Based in Seattle, Washington, he is also an active member of the Science Fiction Writers of America, having authored multiple sci-fi novels and comic books. When not immersed in technology, he enjoys indulging in coffee and exploring creative writing.
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4.8 course rating
504 ratings
Frequently asked questions
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