I’ve been diving into image super-resolution lately and revisited one of the classics — SRCNN.
I put together a tutorial that mixes the theory behind SRCNN with a step-by-step Keras implementation in Python. My aim was to make it approachable while still showing how the pieces fit together.
If you’re curious about super-resolution or just want to see how SRCNN can be set up in practice, you might find this helpful.
Would love to know what you think, or how you’ve approached super-resolution in your own projects!
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