LSTM在時(shí)序數(shù)據(jù)的處理上能力非常強(qiáng),但是如果時(shí)序數(shù)據(jù)是圖像,則在LSTM的基礎(chǔ)上加上卷積操作塑径,對(duì)于圖像的特征提取會(huì)更加有效。ConvLSTM是在《Convolutional...
![240](https://upload.jianshu.io/users/upload_avatars/22520649/2f533553-e4d1-42ef-8814-90bcc2b3a846.jpg?imageMogr2/auto-orient/strip|imageView2/1/w/240/h/240)
IP屬地:內(nèi)蒙古
LSTM在時(shí)序數(shù)據(jù)的處理上能力非常強(qiáng),但是如果時(shí)序數(shù)據(jù)是圖像,則在LSTM的基礎(chǔ)上加上卷積操作塑径,對(duì)于圖像的特征提取會(huì)更加有效。ConvLSTM是在《Convolutional...