这就等于是说我们最可取的作法就是将两种学习方式结合起来。
This means that it is most advisable for us to combine these two ways of learning.
梯度下降算法是训练多层前向神经网络的一种有效方法，该算法可以以增量或者批量两种学习方式实现。
Gradient descent algorithm is an efficient method to train FNN, and it can be realized in batch or incremental manner.
波德瑞克说问题就在于这两种学习方法似乎会彼此抗衡，当一个人分心时，习惯式学习方式似乎会取代叙述式学习方式。
The problem, Poldrack said, is that the two types of learning seem to be competing with each other, and when someone is distracted, habit learning seems to take over from declarative learning.
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