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。

In response, the radio station decided to train its own speech recognition model, so that it would be able to " listen" to its archive and produce transcriptions.

作为回应，该电台决定训练自己的语音识别模型，以便能够“收听”其档案并制作转录。