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Custom Models, Layers, and Loss Functions with TensorFlow
This course is part of TensorFlow: Advanced Techniques Specialization.
Course Cost
Free course
Intermediate
Skill Level
29 Hours
Self-paced lessons
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: Advanced Techniques 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.
38,451 Enrolled
English
What you'll learn
Design and implement custom loss functions for specialized tasks
Create custom layers by extending TensorFlow's base layer class
Build complex model architectures using the Functional API
Implement Siamese networks and residual networks (ResNet)
Develop custom model classes extending TensorFlow's base model
Create custom callbacks for training monitoring and control
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course focuses on advanced TensorFlow techniques for building custom neural network components. Students learn to create custom models using the Functional API, implement specialized loss functions, design custom layers, and extend the TensorFlow Model class. The curriculum covers advanced topics including Siamese networks, ResNet architecture, and custom callbacks, providing hands-on experience through programming assignments and practical implementations.
Functional APIs Module 1
Module 1 · 7 Hours to complete
Custom Loss Functions Module 2
Module 2 · 7 Hours to complete
Custom Layers Module 3
Module 3 · 7 Hours to complete
Custom Models Module 4
Module 4 · 6 Hours to complete
Bonus Content - Callbacks Module 5
Module 5 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: TensorFlow: Advanced Techniques Specialization
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Frequently asked Questions
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