Custom Models, Layers, and Loss Functions with TensorFlow
Build custom neural nets in TensorFlow using the Functional API, custom layers, and models. Specialize in CV and generative AI.
Build custom neural nets in TensorFlow using the Functional API, custom layers, and models. Specialize in CV and generative AI.
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.
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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
Instructors
Award-Winning AI Researcher, Author, and Instructor
Laurence Moroney is a distinguished Artificial Intelligence (AI) researcher, best-selling author, and award-winning educator who has dedicated his career to making AI and Machine Learning (ML) accessible to people worldwide. Based in Seattle, Washington, Laurence has become a prominent figure in the AI community, leveraging his expertise and passion for teaching to empower millions of learners through Massive Open Online Courses (MOOCs), YouTube tutorials, and live talks. He has delivered numerous keynotes and served as a fellow of the AI Fund, advising several innovative AI startups.Laurence’s mission is to simplify complex AI concepts and help professionals and hobbyists alike adopt and succeed with AI and ML technologies. As an educator, he has made substantial contributions to AI learning, developing accessible and impactful courses through platforms like DeepLearning.AI. His teaching philosophy is centered around practical, hands-on learning and real-world application, empowering students to create AI-powered software and systems that solve problems and drive innovation.In addition to his academic and professional endeavors, Laurence is an accomplished author of sci-fi novels, comic books, and a produced screenplay. He is an active member of the Science Fiction Writers of America, merging his love of technology and storytelling. When not diving into AI or working with technology, he enjoys crafting stories about the future of humanity and the role of advanced technologies in shaping our world. Laurence’s passion for coffee is well-known, and he often jokes about his excessive coffee intake, which fuels his work and creative pursuits.
AI Product Manager and Expert in AI Education
Eddy Shyu is a highly experienced AI Product Manager at Cisco, and was previously the Curriculum Product Manager at DeepLearning.AI. With a strong foundation in AI education and product management, Eddy has played a pivotal role in developing a wide range of online courses on Artificial Intelligence. Over the course of his career, Eddy has designed and built around 40 AI-focused online courses, which are available on prestigious platforms like Coursera, DeepLearning.AI, Udacity, and Cisco Networking Academy. His courses have reached thousands of learners globally, helping them master critical AI concepts and technologies.With a background in both AI education and AI product management, Eddy’s expertise bridges the gap between cutting-edge AI technologies and the needs of learners and businesses alike. His work at Cisco and DeepLearning.AI has enabled organizations and individuals to leverage AI for practical applications in various industries, particularly healthcare, technology, and business.
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Frequently asked questions
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