C4W2 Lab4: Convolutional Encoder Model - Training?

[Deepti_Prasad]

Hi @Bernhard_Wieczorek

Although I am not clearly understanding your question but I understand you raising issue for the bottleneck filter with 3×3 not used in encoder_visualization layer. So sharing a post comment link, please go through let me know if your doubt still persist

Question about auto-encoder visualization

Hello @Dennis_Sinitsky Filters represent the number of output channels after convolution has been performed, while Kernel represents the size of a convolution filter being used to perform convolution on the image. So the reason why filter of 1 has been used for encoder visualisation because it is decoding the encoded layer where the input had same number of filter as input of 1. No it does not represent bottle neck as it is compressed representation of bottle neck (compressed form of image) …

Regards
DP