TF_Transformer_FR_EN.ipynb Transformer.py helperfunctions.py main.py preprocess.py transformer.data-00000-of-00001 transformer.index README.md TF_Transformer A tensorflow Transformer trained on the Aligned Hansards of the 36th Parliament of Canada: Senate debate training set consisting of...
The core fucntions in transformer such as scaled dot prodction attention, multi-head attention and feedforward network, were implemented in nn.pyFor more details, read the paper: Ashish Vaswani, et al. "Attention is all you need."Noticed: TF 1.x scripts will not continue to work with TF...
booltransformVectorTo(consttf::Transformer& tf,conststring& source_frame,conststring& goal_frame,constTime& time_source,constgeometry_msgs::Vector3& point_in, geometry_msgs::Vector3& point_out,conststd::string& fixed_frame,constTime& time_goal){ ros::Duration timeout = Duration().fromSec(2....
encoder_Q = tf.matmul(tf.reshape(encoder_embedding_input,(-1,tf.shape(encoder_embedding_input)[2])),w_Q) encoder_K = tf.matmul(tf.reshape(encoder_embedding_input,(-1,tf.shape(encoder_embedding_input)[2])),w_K) encoder_V = tf.matmul...
zero_mask= tf.reshape(zero_mask,(-1,1)) one_mat=np.ones((targets.shape[0],targets.shape[0]))#print('zero_mask:',zero_mask.shape,zero_mask)result_mask1 =np.multiply(one_mat,zero_mask) result_mask2=np.multiply(one_mat, tf.transpose(zero_mask)) ...
已经基本完成它的历史使命,将来会逐步退出历史舞台;CNN 如果改造得当,将来还是有希望有自己在 NLP 领域的一席之地,如果改造成功程度超出期望,那么还有一丝可能作为割据一方的军阀,继续生存壮大,当然我认为这个希望不大,可能跟宋小宝打篮球把姚明打哭的概率相当;而新欢 Transformer 明显会很快成为 NLP 里担当大任的最...
test_tfidf = tfidftransformer.transform(count_test) 测试集的if-idf test_weight = test_tfidf.toarray() 二、tf-idf词典的保存 我们总是需要保存tf-idf的词典,然后计算测试集的tfidf,这里要注意sklearn中保存有两种方法:pickle与joblib。我们这里用pickle ...
TfidfTransformer(norm='l2', smooth_idf=True, sublinear_tf=False, use_idf=True) [[0. 0.43877674 0.54197657 0.43877674 0. 0. 0.35872874 0. 0.43877674] [0. 0.27230147 0. 0.27230147 0. 0.85322574 0.22262429 0. 0.27230147] [0.55280532 0. 0. 0. 0.55280532 0. ...
TfidfVectorizer、CountVectorizer 和 TfidfTransformer 是 sklearn 中处理自然语言常用的工具。TfidfVectorizer 实际上是 CountVectorizer 和 TfidfTransformer 的组合。下面先解释 CountVectorizer 的功能。CountVectorizer 的目的是将文本文档转换为计数的稀疏矩阵。比如，将这句文本 "This is the first document....
继上节TF 2.0 Keras 实现 Multi-Head Attention Transformer 模型 Transformer 同样采用Encoder和Decoder的结构。 Encoder 包含 2 个子层 (循环 6 次): Multi-Head Attention Feed Forward Decoder 包含 3 个子层 (循环 6 次): Masked Multi-Head Attention ...