Get Your Way Through Core AI Problems & Become a Machine Learning Guru with 6 Courses of Training
In this course, you’ll see how you can turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label. You could imagine that such a task is a basic prerequisite for self-driving vehicles. With 75 lectures, you’ll be looking at SSD, neural style transfer, and facial recognition. Sign up and learn these advanced applications of CNNs.
Access 75 lectures & 7 hours of content 24/7
See how a CNN can be turned into an object detection system
Learn about a state-of-the-art algorithm called SSD
Understand the process of neural style transfer
Become informed & aware about facial recognition
SpecsImportant Details
Length of time users can access this course: lifetime
Access options: web & mobile streaming
Certification of completion included
Redemption deadline: redeem your code within 30 days of purchase
Updates included
Experience level required: intermediate
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Requirements
Know how to build, train & use a CNN using some library (preferably in Python)
Understand basic theoretical concepts behind convolution & neural networks
Decent Python coding skills, preferably in data science & the Numpy Stack


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