Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python
4.58 (6635 reviews)
44 361
students
17 hours
content
May 2025
last update
$119.99
regular price
What you will learn
Understand and apply transfer learning
Understand and use state-of-the-art convolutional neural nets such as VGG, ResNet and Inception
Understand and use object detection algorithms like SSD
Understand and apply neural style transfer
Understand state-of-the-art computer vision topics
Class Activation Maps
GANs (Generative Adversarial Networks)
Object Localization Implementation Project
Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion
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Our Verdict
Experience advanced computer vision techniques with this Udemy course, but be prepared for a potentially robotic speaking style. The comprehensive and up-to-date content is a solid foundation, although there's room for improvement in addressing concerns about code notebooks and providing more in-depth explanations in certain sections. Additionally, ensure you have the prerequisite knowledge to make the most out of this valuable resource on your data science journey.
What We Liked
- Comprehensive coverage of advanced computer vision techniques using Tensorflow, Keras, and Python
- In-depth explanations of state-of-the-art convolutional neural networks like VGG, ResNet, Inception, and SSD
- Hands-on experience with practical projects such as Neural Style Transfer, GANs (Generative Adversarial Networks), and Object Localization Implementation Project
- Up-to-date content with latest course update in 2025 providing insights into OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion foundations
Potential Drawbacks
- Concerns about the unavailability of code notebooks for certain users
- The robotic speaking style of the instructor and lack of line indication during coding sections might be challenging for some learners
- Limited content on GANs (only two videos) leading to incomplete understanding for few learners
- Lack of detailed coding explanations in some sections may make the course less accessible for beginners
Related Topics
1533864
udemy ID
31/01/2018
course created date
12/09/2019
course indexed date
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