Also, batch normalization allows each layer of a network to learn by itself a little bit more independently of other layers.
Paket normalizasyon, bir ağın her katmanının kendi başına diğer katmanlardan daha bağımsız olarak öğrenmesini sağlar.
You can also insert batch normalization after the activation function, but in my experience both methods have similar performance.
Ayrıca, aktivasyon fonksiyonundan sonra batch norm'u ekleyebilirsiniz ancak yapılan çalışmalarda her iki yönteminde benzer performans gösterdiği gözlemlenmiştir.
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I also started to apply batch-normalization everywhere.
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