Image Super-Resolution GANs
Enhance/upsample images with Generative Adversarial Networks using Python and Tensorflow 2.0
Image Super-Resolution GANs udemy course free download
Enhance/upsample images with Generative Adversarial Networks using Python and Tensorflow 2.0
What you'll learn:
Image Super-Resolution GANs
- Create a generator that upsamples an image by 4 times in each dimension, so that it looks better.
- Create a discriminator that scores both realism and how well the image looks like the original.
- Keras layers can be changed so that they can accept images of any size without having to re-create the model.
- Google CoLab lets you train the models on a Cloud TPU through a TPU on the Cloud.
- Use the trained generator in a real-world application to make your own images bigger.
Requirements:
- “High-Resolution Generative Adversarial Networks (GANs)” is the name of my class.
- Python is a language I know.
- Experience with convolutional neural networks.
- People who have some experience with TensorFlow 2.0 and Keras.
Description:
We've all seen the gimmick in crime TV shows where the investigators manage to take a tiny patch of an image and magnify it with unrealistic clarity. Well today, Generative Adversarial Networks are making the impossible possible.
Dive into this course where I’ll show you how easily we can take the fundamentals from my High Resolution Generative Adversarial Networks course and build on this to accomplish this impressive feat known as Super-resolution. Not only will you be able to train a Generator to magnify an image to 4 times it’s original size (that’s 16 times the number of pixel!), but it will take relatively little effort on our end.
Just as in the first course, we’ll use Python and TensorFlow 2.0 along with Keras to build and train our convolutional neural networks. And since training our networks will require a ton of computational power, we’ll once again use Google CoLab to connect to a free Cloud TPU. This will allow us to complete the training in just a few days without spending anything on hardware!
If this sounds enticing, take a few minutes to watch the free preview of the “Results!” lesson. I have no doubt that you will come away impressed.
Who this course is for:
- Python + TensorFlow 2.0 developers who want to enlarge images with photorealistic detail and clarity
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Course Details:
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2.5 hours on-demand video
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
Image Super-Resolution GANs udemy courses free download
Enhance/upsample images with Generative Adversarial Networks using Python and Tensorflow 2.0
Demo Link: https://www.udemy.com/course/image-super-resolution-gans/
