Classification vs Detection vs Segmentationă ŁChapter 4. Deep learning
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- Äas pĆidĂĄn 24. 06. 2024
- #deeplearning #machinelearning #classification
đ§ Dive into the fascinating world of Artificial Intelligence with our in-depth lecture series!
In this segment, we explore the various learning objectives in vision deep learning, focusing on how AI classifies, segments, detects, and generates visual content. We will examine practical applications and discuss the ethical implications of these technologies.
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đ What We Cover:
00:00:00 Core Learning Objectives in Vision Deep Learning
00:06:01 Practical Applications and Ethical Considerations
00:09:16 Integration of Learning Methods in Real-World Scenarios
đ„Check out other parts of our Deep Learning tutorial!
Part 1: What are ML and DL?
czcams.com/video/J-ggFnRJ0iI/video.html
Part 2: Differences between ML and DL
czcams.com/video/egHuy3Q7cRs/video.html
Part 3: Why Is Deep Learning So Popular
czcams.com/video/q2YxbCAJdEQ/video.html
Part 4: Classification vs Detection vs Segmentation
czcams.com/video/tgipd6F6KZc/video.html
Part 5: 5 Steps to Develop an AI Model
czcams.com/video/X77aX3oKPkA/video.html
Part 6: Technologies Commonly Used in Deep Learning Development
czcams.com/video/3jrmcRcqKqg/video.html
Part 7: Which Library is the Most Powerful in Deep Learning?
czcams.com/video/0JgJ30xhKJc/video.html
Part 8: The Most Effective Machine Learning Methods
czcams.com/video/udT8PKPalIo/video.html
Check out our Linear Algebra and Statistics tutorial!
Linear Algebra: czcams.com/video/3Bf9oh7nkus/video.html
Statistics: czcams.com/video/maRJpOJHwdE/video.html
One of the best series on CZcams. Thanks a lot...
Nice sir very interesting †I watch full video don't lose hope from.less viwes
Thank you for your support. Have a nice day :)
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Hi sir,
thank U very much for your effort and time,
I hope you to keep creating such great lessons like these.
I was wondering about the tool that you use to create these lessons, I would be grateful for a response cause I'm so interested in such like techniques.
Thanks again.
Thank you for watching the video! The slides are in PowerPoint, and we use an interactive whiteboard to make the lectures more engaging. Have a great day :)