Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python

4.51 (6647 reviews)

Udemy

platform

English

language

Data Science

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

Course Gallery

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) – Screenshot 1 — Screenshot 1 – Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) – Screenshot 2 — Screenshot 2 – Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) – Screenshot 3 — Screenshot 3 – Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) – Screenshot 4 — Screenshot 4 – Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

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Comidoc Review

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