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Convolutional Neural Networks in TensorFlow
This course is part of DeepLearning.AI TensorFlow Developer Certificate.
Course Cost
Free course
Intermediate
Skill Level
13 Hours
Self-paced Video lessons
This comprehensive course teaches advanced techniques for building and optimizing convolutional neural networks using TensorFlow. Students learn to work with real-world image datasets, implement data augmentation, apply transfer learning, and handle multiclass classification. The curriculum emphasizes practical implementation skills while addressing common challenges like overfitting through hands-on programming assignments.
4.7
1,51,835 Enrolled
English
What you'll learn
Implement CNNs for large-scale image classification
Apply data augmentation to prevent overfitting
Utilize transfer learning with pre-trained models
Develop multiclass classification systems
Optimize model performance using advanced techniques
Skills you'll gain
This course includes:
0.85 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 4 modules in this course
This course provides in-depth training in implementing convolutional neural networks using TensorFlow. Beginning with large-scale image classification, students progress through advanced topics including data augmentation, transfer learning, and multiclass classification. The curriculum combines theoretical understanding with extensive hands-on practice, featuring real-world datasets and practical implementation challenges.
Exploring a Larger Dataset Module 1
Module 1 · 3 Hours to complete
Augmentation: A technique to avoid overfitting Module 2
Module 2 · 5 Hours to complete
Transfer Learning Module 3
Module 3 · 3 Hours to complete
Multiclass Classifications Module 4
Module 4 · 3 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: DeepLearning.AI TensorFlow Developer Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Students
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Courses
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.
Frequently asked Questions
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