Upsampling in Neural Networks - Interactive Demo App

In deep learning, upsampling is a technique used to increase the size of data. For image data, upsampling is used to increase image dimensions. It does this by inferring values for the newly introduced pixels in the upsampled output space from the original image input.
Use the interactive demonstration below to gain a better understanding of this process. The intended use of this application is to help students learn and help instructors teach.
🔗 deeplizard.com/resource/pavq7...
We discuss how upsampling is used in the Intro to GANs course. Check out the GANs course here:
🔗 deeplizard.com/course/gacpailzrd
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[@deeplizard]

Use the interactive demonstration below to gain a better understanding of this process:
🔗 deeplizard.com/resource/pavq7noze5
We discuss how upsampling is used in the Intro to GANs course. Check out the GANs course here:
🔗 deeplizard.com/course/gacpailzrd

[@bertbrecht7540]

I understand remember so much better when given visual examples like this. Well done.

[@deeplizard]

Perfect, thank you 😊

[@adityanjsg99]

Good to know this channel is still active :)

[@deeplizard]

💃💃

[@bibhutibaibhavbora8770]

Thank you❤

[@River049]

Perfecto 🤩

[@Aravind_MLAI]

Great video. 👌🏻 Please make a video on dithering techniques. 🤔

[@deeplizard]

Use the interactive demonstration below to gain a better understanding of this process. The intended use of this application is to help students learn and help instructors teach.
🔗 deeplizard.com/resource/pavq7noze5
We discuss how upsampling is used in the Intro to GANs course. Check out the GANs course here:
🔗 deeplizard.com/course/gacpailzrd

[@leanwolf6667]

Thank you!