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: ...
Then, I compute the cosine similarity between two vectors: 0.005 that may be interpreted as “two unique sentences are very different.” Wrong! By this example, I want to demonstrate that the vector representation of a sentence can even be perpendicular if we use two different word2vec model...
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...