Added CBOW method to Torch file

[us]

Word2Vec has 2 methods skip-grams and CBOW(Continous Bag of Words) and I added CBOW method.

[us]

and change file name to Word2Vec-Torch-SkipGram(Softmax).py

[graykode]

@us Could you tell me what is different with my Skip-gram code?!

[graykode]

@us Ok I will change my file name, then after I will wait CBOW code ! Thanks

[graykode]

@us See my Commits 6a2a47a
I will close this Pr, Thanks!

[us]

Just changed w and target location.
If you know CBOW, that is learning to predict the word by the context.
The skip-gram model is designed to predict the context.

I changed there :

for w in context:
        skip_grams.append([w, target])

https://stackoverflow.com/questions/38287772/cbow-v-s-skip-gram-why-invert-context-and-target-words