Function resnet_layer

2D Convolution-Batch Normalization-Activation stack builder # Arguments inputs (tensor): input tensor from input image or previous layer num_filters (int): Conv2D number of filters kernel_size (int): Conv2D square kernel dimensions strides (int): Conv2D square stride dimensions activatio

(inputs,
				 num_filters=16,
				 kernel_size=3,
				 strides=1,
				 activation='relu',
				 batch_normalization=True,
				 conv_first=True)