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Royi
Royi
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Pix2pix loss formula meaning The Meaning of $ \mathbb{E} $ Operator in the Pix2Pix Loss Formula of a Neural Network / Convolutional Neural Network

I've been observing the pix2pix paperPix2Pix Paper - Image to Image Translation with Conditional Adversarial Networks and wondered on formulas. For example, the objective of the CGAN is: enter image description here,

where x - observed image, z - random noise, y - target image and G and D are generating and discriminating models respectively.

What does this E with "double line" stands for?

Pix2pix loss formula meaning

I've been observing the pix2pix paper and wondered on formulas. For example, the objective of the CGAN is: enter image description here,

where x - observed image, z - random noise, y - target image and G and D are generating and discriminating models respectively.

What does this E with "double line" stands for?

The Meaning of $ \mathbb{E} $ Operator in the Pix2Pix Loss Formula of a Neural Network / Convolutional Neural Network

I've been observing the Pix2Pix Paper - Image to Image Translation with Conditional Adversarial Networks and wondered on formulas. For example, the objective of the CGAN is: enter image description here,

where x - observed image, z - random noise, y - target image and G and D are generating and discriminating models respectively.

What does this E with "double line" stands for?

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Royi
Royi
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ans
ans
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Pix2pix loss formula meaning

I've been observing the pix2pix paper and wondered on formulas. For example, the objective of the CGAN is: enter image description here,

where x - observed image, z - random noise, y - target image and G and D are generating and discriminating models respectively.

What does this E with "double line" stands for?