Calculate Convolutional Layer Volume in ConvNet
2.4 هزار بار بازدید -
5 سال پیش
-
Let's learn how to calculate
Let's learn how to calculate the Volumne (Width, Height and Channels) for Convolutional Layer based on:
- Input layer shape.
- Convolutional step criteria that come from Striding and Padding in ConvNet.
I guess that sometimes you are curious on how Tensorflow or Keras calculate output shapes of Convolutional Layers when designing your custom ConvNets. I think that this is a fundamental of Deep Learning in Computer Vision or Image recognition taks.
For this I use simple example with input convolutional layer with its shape and used convolutional filter for that layer. And then, how to calculate output dimensions for the next layer? Let's see.
#convnet
#cnnexplained
#deeplearninglesson
- Input layer shape.
- Convolutional step criteria that come from Striding and Padding in ConvNet.
I guess that sometimes you are curious on how Tensorflow or Keras calculate output shapes of Convolutional Layers when designing your custom ConvNets. I think that this is a fundamental of Deep Learning in Computer Vision or Image recognition taks.
For this I use simple example with input convolutional layer with its shape and used convolutional filter for that layer. And then, how to calculate output dimensions for the next layer? Let's see.
#convnet
#cnnexplained
#deeplearninglesson
5 سال پیش
در تاریخ 1398/03/09 منتشر شده
است.
2,479
بـار بازدید شده