A:seq_len就是输入的sequence_length(序列长度),既然LSTM是处理序列数据的,那么序列就需要一个长度。虽然LSTM处理的序列长度通常是不固定的,但是Pytorch和TensorFlow的集成实现还是固定了input的序列长度,在处理不固定长度的数据(如机器翻译),通常加入开始和结束符号并采用序列的最大长度MAX_LEN作为seq_len 来看几个实际...
CountingSequencesTime Limit: 2000/1000 MS (Java/Others) Memory Limit: 32768/65536 K (Java/Others...) Total Submission(s): 2335 Accepted Submission(s): 820 Problem Description For a set ofsequences...It is quite obvious that a sequence with the length n has 2^n sub-sequences...=10000...
SequenceRecordReader trainFeatures2 = new CSVMultiSequenceRecordReader("|",Mode.EQUAL_LENGTH); trainFeatures2.initialize(new NumberedFileInputSplit(featuresDirTrain.getAbsolutePath() + "/%d.csv", 0, 449)); 不幸的是,这不起作用,因为他没有以正确的形式构建数据集。 因此,我需要解决的主要问题是:如...
Total Submission(s): 2335 Accepted Submission(s): 820 Problem Description For a set of sequences...It is quite obvious that a sequence with the length n has 2^n sub-sequences...=10000000) The second line n integers, representing the suquence Output The number of Perfect Sub-sequences 50...