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Convolution Upscaling Is a Conv2DTranspose the same as a full convolution?

I am currently creating a GAN model from scratch (following this tutorial: https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-an-mnist-handwritten-digits-from-scratch-in-keras/) but I can't find out how to implement Conv2DTranspose from scratch. Is a Conv2DTranspose the same as a full convolution? If not, how would one implement it?

Convolution Upscaling

I am currently creating a GAN model from scratch (following this tutorial: https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-an-mnist-handwritten-digits-from-scratch-in-keras/) but I can't find out how to implement Conv2DTranspose from scratch. Is a Conv2DTranspose the same as a full convolution? If not how would one implement it?

Is a Conv2DTranspose the same as a full convolution?

I am currently creating a GAN model from scratch (following this tutorial: https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-an-mnist-handwritten-digits-from-scratch-in-keras/) but I can't find out how to implement Conv2DTranspose from scratch. Is a Conv2DTranspose the same as a full convolution? If not, how would one implement it?

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Convolution Upscaling

I am currently creating a GAN model from scratch (following this tutorial: https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-an-mnist-handwritten-digits-from-scratch-in-keras/) but I can't find out how to implement Conv2DTranspose from scratch. Is a Conv2DTranspose the same as a full convolution? If not how would one implement it?