When you edit documents in various formats day-to-day, the universality of the document tools matters a lot. If your instruments work for only a few of the popular formats, you may find yourself switching between software windows to embed word in NBP and handle other file formats. If you wish to take away the headache of document editing, go for a platform that can easily manage any format.
With DocHub, you do not need to concentrate on anything apart from actual document editing. You won’t need to juggle programs to work with different formats. It will help you revise your NBP as easily as any other format. Create NBP documents, edit, and share them in one online editing platform that saves you time and boosts your efficiency. All you have to do is sign up an account at DocHub, which takes just a few minutes or so.
You won’t need to become an editing multitasker with DocHub. Its functionality is enough for fast document editing, regardless of the format you want to revise. Start by registering an account and see how straightforward document management can be having a tool designed specifically to meet your needs.
[Music] hello my name is first hanger welcome to my youtube channel so guys today in this particular video well be discussing about word embedding nowadays in natural language processing Ive completed bag of words Ive completed tf-idf you know and I in deep learning playlists also I am still in a list iam had covered their list iam theoretical part now the main thing is with respect to implementation so this particular topic will be added in both playlist natural language processing and in deep learning playlist because both these particular videos are important with respect to NLP also with respect to deep learning also now if I come towards the practical implementation of a list iam right recurrent neural network suppose I want to do a sentiment analysis for the text data at that time I can efficiently use this embedding layer which is available in chaos but before that we need to understand what is exactly word embedding now if I go back guys I have already taught you about bag