kernel = tf.get_default_graph().get_tensor_by_name( os.path.split(b.name)[0] + '/kernel:0')
bias = tf.get_default_graph().get_tensor_by_name( os.path.split(b.name)[0] + '/bias:0')
kernel = tf.get_default_graph().get_tensor_by_name( os.path.split(b.name)[0] + '/kernel:0')
bias = tf.get_default_graph().get_tensor_by_name( os.path.split(b.name)[0] + '/bias:0')本文标题：如何获取tf.layers.dense中的kernel和bias
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