Fig.6
The Inception-ResNet structure comprises ReLU activation, convolutional layers (Conv-12–18), and residual addition
Download original image
Note: Following ReLU activation, the input is split into three branches, processed through Conv-12-17, concatenated via Conv-18, and combined with the original input using a residual connection. Layer parameters and output dimensions are annotated in the figure.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.