It became the winning architecture to generate exciting new results in object recognition.

在物品辨识领域中，这样的架构以令人兴奋的崭新成果，傲视群雄。

In a typical neural network we use to train our object recognition model, it has 24 million nodes, 140 million parameters, and 15 billion connections.

在一般的神经网络中， 我们用作训练的物品辨识模型，就有两千四百万个节点、一亿四千万个参数，以及一百五十亿个连结。