w2v_demo.mp4
- This is a demo of word2vec skip-gram architecture
- The sliding window size is 3
- We use a center word (in one hot vector format) as an input to predict context words (in one hot vector format)
- After the training is done, the hidden layer can be used as word embeddings and we can observe that similar words will be close to each other in vector space
- Open
w2v.htmlby browser, and clickTrainbutton