图层数组与图层:1“InputLayer”图像输入50 x50x1图片2 Conv1卷积64 3 x3x1旋转步[1]和填充[1 1 1 1]3‘ReLU1 ReLU ReLU 4 Conv2卷积64 3 x3x64旋转步[1]和填充[1 1 1 1]5‘BNorm2批量标准化批量标准化与64个频道6‘ReLU2 ReLU ReLU 7 Conv3卷积64 3 x3x64convolutions with stride [1 1] and padding [1 1 1 1] 8 'BNorm3' Batch Normalization Batch normalization with 64 channels 9 'ReLU3' ReLU ReLU 10 'Conv4' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 11 'BNorm4' Batch Normalization Batch normalization with 64 channels 12 'ReLU4' ReLU ReLU 13 'Conv5' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 14 'BNorm5' Batch Normalization Batch normalization with 64 channels 15 'ReLU5' ReLU ReLU 16 'Conv6' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 17 'BNorm6' Batch Normalization Batch normalization with 64 channels 18 'ReLU6' ReLU ReLU 19 'Conv7' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 20 'BNorm7' Batch Normalization Batch normalization with 64 channels 21 'ReLU7' ReLU ReLU 22 'Conv8' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 23 'BNorm8' Batch Normalization Batch normalization with 64 channels 24 'ReLU8' ReLU ReLU 25 'Conv9' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 26 'BNorm9' Batch Normalization Batch normalization with 64 channels 27 'ReLU9' ReLU ReLU 28 'Conv10' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 29 'BNorm10' Batch Normalization Batch normalization with 64 channels 30 'ReLU10' ReLU ReLU 31 'Conv11' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 32 'BNorm11' Batch Normalization Batch normalization with 64 channels 33 'ReLU11' ReLU ReLU 34 'Conv12' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 35 'BNorm12' Batch Normalization Batch normalization with 64 channels 36 'ReLU12' ReLU ReLU 37 'Conv13' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 38 'BNorm13' Batch Normalization Batch normalization with 64 channels 39 'ReLU13' ReLU ReLU 40 'Conv14' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 41 'BNorm14' Batch Normalization Batch normalization with 64 channels 42 'ReLU14' ReLU ReLU 43 'Conv15' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 44 'BNorm15' Batch Normalization Batch normalization with 64 channels 45 'ReLU15' ReLU ReLU 46 'Conv16' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 47 'BNorm16' Batch Normalization Batch normalization with 64 channels 48 'ReLU16' ReLU ReLU 49 'Conv17' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 50 'BNorm17' Batch Normalization Batch normalization with 64 channels 51 'ReLU17' ReLU ReLU 52 'Conv18' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 53 'BNorm18' Batch Normalization Batch normalization with 64 channels 54 'ReLU18' ReLU ReLU 55 'Conv19' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 56 'BNorm19' Batch Normalization Batch normalization with 64 channels 57 'ReLU19' ReLU ReLU 58 'Conv20' Convolution 1 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1] 59 'FinalRegressionLayer' Regression Output mean-squared-error