张量流InceptionV3和纸张之间的区别

Question

我正在使用tensorflow 2.2.0rc，并注意到sudo apt-get install git 内部的InceptionV3的实现与其实现的论文inception paper之间存在一些差异。

具体来说，前两个起始模块应为 但这实现为：

tf.keras.applications.inception_v3.InceptionV3

branch1x1 = conv2d_bn(x, 64, 1, 1) # Shouldnt this be # branch3x3 = conv2d_bn(x, 48, 1, 1) # branch3x3 = conv2d_bn(branch3x3, 64, 3, 3) branch5x5 = conv2d_bn(x, 48, 1, 1) branch5x5 = conv2d_bn(branch5x5, 64, 5, 5) branch3x3dbl = conv2d_bn(x, 64, 1, 1) branch3x3dbl = conv2d_bn(branch3x3dbl, 96, 3, 3) branch3x3dbl = conv2d_bn(branch3x3dbl, 96, 3, 3) branch_pool = layers.AveragePooling2D( (3, 3), strides=(1, 1), padding='same')(x) branch_pool = conv2d_bn(branch_pool, 32, 1, 1) x = layers.concatenate([branch1x1, branch5x5, branch3x3dbl, branch_pool], axis=channel_axis, name='mixed0') 真的不是branch5x5吗？