CNN Size Computing

CNNs (Convolutional Neural Networks) is a amazing component of neural network theory. However, to use it efficiently, we need to compute the output shape.

ask for chatgpt

input shape

Ensure that the input to your network is of the correct shape. The input tensor should have the dimensions [batch_size, channels, height, width]. For example, if you’re using a batch size of 1, the input should be [1, 32, 32, 300].

  • 1 is batch size.
  • input_data = torch.randn(1, 32, 32, 300) # Example input tensor with the correct shape

Compute of CNN output

The channels number is the CNN’s filters number.