Dense to Sparse - AI World

• What we do in CNN - Convert Dense to Sparse with convolution and activations 
• What we do in NLP - Text Preprocessing: Stemming / Lemmatization / Stop-word removal - Vectorization 
• Topic Modelling - Words - Documents - Non-Negative Matrix Factorization 
• ML Feature Engineering / Recommendations - PCA / SVD 

Everywhere we attempt to retain key features/vectors aligned to vision/text/features/topic modeling tasks. Converting Dense to Sparse is the way to get the signal from the noise :)

Keep Exploring!!!