This project aims todeepen knowledges in CNNs, especially in features extraction and images similarity computation. I decided to work with 2 pre-trained CNN (on ImageNet): theVGG16and theResNet50and to compare their cosine similarity performances. You can choose to load models: ...
Guide to Fuzzy Matching with Python String similarity — the basic know your algorithms guide! Normalized compression distance Extra libraries For main algorithms textdistance try to call known external libraries (fastest first) if available (installed in your system) and possible (this implementation ca...
To gain a better understanding of the two ways we evaluate text similarity, let’s use code the example above in python. Lexical Text Similarity Example in Python # importing librariesimport numpy as npfrom sklearn.metrics.pairwise import cosine_similarityfrom sklearn.feature_extraction.text import...
In this article, you have learned about the attention in a transformer network and how it can be computed. In order to further clarify the concept and experiment with the method, you can run the respective python notebook which details each step in a clear and easy...
python wordsense_detect.py,运行中文词语语义消歧脚本. 1, 指定需要进行词义消歧的词语word 2, 指定需要极刑词义消歧词语所在的句子 例子: enter an sent to search:苹果发布新产品了 enter an word to identify:苹果 sent_embedding_res: [('公司', 0.4309597564421702), ('物品', 0.39608141793731144), ('歌曲...