第78章 白浅苏的演讲（第5页）

are

able

to

efficiently

handle

long-term

dependencies

in

time

series

data，

which

is

crucial

for

applications

such

as

language

translation

and

time

series

prediction.

得益于长短期记忆网络（lstm）这种特殊类型的rnn算法，模型能够高效处理时间序列数据中的长期依赖关系，这在语言翻译和时间序列预测等应用中至关重要。

the

development

of

generative

adversarial

works

（gans）

has

also

sparked

a

revo露tion

in

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