Instructor: Ryan Ahmed
2,959 already enrolled
Included with 
(57 reviews)
Recommended experience
Understand the theory and intuition behind Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs)
Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend
Visualize the Activation Maps used by CNN to make predictions using Grad-CAM and Deploy the trained model using Tensorflow Serving
Add to your LinkedIn profile
Only available on desktop
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understand the theory and intuition behind Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs)
Apply Python libraries to import, pre-process and visualize images
Perform data augmentation to improve model generalization capability
Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend
Compile and fit Deep Learning model to training data
Assess the performance of trained CNN and ensure its generalization using various KPIs such as accuracy, precision and recall
Understand the theory and intuition behind GradCam and Explainable AI
Visualize the Activation Maps used by CNN to make predictions using Grad-CAM
Basic python programming and mathematics.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
57 reviews
73.68%
17.54%
5.26%
1.75%
1.75%
Showing 3 of 57
Reviewed on Jul 26, 2020
I like the course, it is exceptional.But if you provide the materials(train/test files) to download it will be better to apply it on our own
Coursera Project Network
UNSW Sydney (The University of New South Wales)
DeepLearning.AI
MathWorks
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
