PMC:7782580 / 50993-51673 JSONTXT

{"project":"LitCovid-sentences","denotations":[{"id":"T381","span":{"begin":60,"end":187},"obj":"Sentence"},{"id":"T382","span":{"begin":188,"end":422},"obj":"Sentence"},{"id":"T383","span":{"begin":423,"end":601},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":" had the same size, but output 1 did not have a ReLu layer. The upper branch consisted of a max-pooling layer (Max-Pooling), a convolution layer (Conv 1 × 1), and a batch norm layer (BN). The Max-Pooling had a kernel size of 3 × 3 and a stride of 2 to downsample the input 1 for retaining the features and ensuring the same size as the output layer before the element-wise add operation was conducted in the bottom branch. The Conv 1 × 1 consisted of multiple 1 × 1 convolution kernels with the same number as that in the second convolution layer in the bottom branch to adjust the number of channels. The BN used a regulation function to ensure the input in each layer of the mod"}