What receptive field do we have after stacking nn convolutional layers with kernel size k \times kk×k and stride 1? Layers numeration starts with 1. The resulting receptive field will be a square, input its side as an answer.
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A convolutional layer bargains different convolutional bits (picture parts).
Beneath we will present what is a picture portion, why there are various picture parts than one, some computational subtleties, and why a littler picture piece is preffered in latest research and models.
We upgrade the profound system utilizing another misfortune work for super-goals that joins recreation mistake with an educated face quality measure in ill-disposed setting, creating improved visual outcomes.
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