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Introduction to TensorFlow for AI, ML and Deep Learning
This course is part of DeepLearning.AI TensorFlow Developer Certificate.
Course Cost
Free course
Intermediate
Skill Level
21 Hours
Self-paced Video 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 DeepLearning.AI TensorFlow Developer Professional Certificate 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
3,82,355 Enrolled
English
What you'll learn
Build and train basic neural networks using TensorFlow
Implement computer vision applications with deep learning
Master convolutional neural networks for image processing
Develop practical skills in handling real-world image data
Skills you'll gain
This course includes:
1.3 Hours PreRecorded video
4 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.
CREATED BY
PROVIDED BY
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There are 4 modules in this course
This comprehensive course introduces TensorFlow, Google's popular open-source framework for machine learning and deep learning. Students learn to build and train neural networks, starting with basic concepts and progressing to computer vision applications with convolutional neural networks. The curriculum includes hands-on programming exercises using real-world datasets, covering essential topics like callbacks, data handling, and image processing. Through practical labs and guided projects, participants gain experience implementing computer vision solutions and working with complex image data.
A New Programming Paradigm
Module 1 · 5 Hours to complete
Introduction to Computer Vision
Module 2 · 5 Hours to complete
Enhancing Vision with Convolutional Neural Networks
Module 3 · 5 Hours to complete
Using Real-world Images
Module 4 · 6 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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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
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.