Do you need an editor that will allow you to make that last-moment edit and Classify Approve Text For Free? Then you're on the right track! With DocHub, you can swiftly make any required changes to your document, regardless of its file format. Your output files will look more professional and compelling-no need to download any heavy-wight software. You can use our editor at the comfort of your browser.
When using our editor, stay reassured that your data is protected and shielded from prying eyes. We adhere to major data protection and eCommerce standards to ensure your experience is secure and enjoyable at every point of interaction with our editor! If you need help optimizing your document, our dedicated support team is always ready to address all your queries. You can also take advantage of our comprehensive knowledge center for self-guidance.
Try our editor today and Classify Approve Text For Free effortlessly!
[Music] [Applause] hi everybody Im Laurence Moroney from the tensorflow team at Google and today were going to talk about text classification its part one of a two-part series will will focus on the data and getting it ready to train a neural network you will do this hands-on using a workbook that you can find at the link in the description below and Ill step you through it text classification has some unique challenges so before you get coding let me step you through some of these first of all neural networks typically deal with numbers are not text when learning patterns that can be used for prediction or classification so in this case were looking at learning from movie reviews to see if those reviews are positive or negative and the first step of course is to change the words into numbers that represent them therell be a little bit more processing of these words into vectors determining their sentiments and well cover that in the next video so lets get coding first first t