From the course: Natural Language Processing in Python

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Deep learning in practice

Deep learning in practice - Python Tutorial

From the course: Natural Language Processing in Python

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Deep learning in practice

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Now that you understand the basics of deep learning and deep learning architectures, you may be thinking, how do we do this in practice? Everything seems so complicated, but don't worry, it's actually not too bad. To understand how to apply deep learning models, it really starts with this mindset shift from traditional NLP to modern NLP. So let's talk about traditional NLP once again. That's what we covered in the first half of this course and the main idea is once you've decided on a model you train your own model. So the steps are first you pick a model that's good for your problem. For example if our problem is we want to predict if a company will be profitable or not we would choose a classification model for this. Let's say a logistic regression. Okay so we've decided on our model and then the next step is to input your historical data. So in the past, looking at company descriptions, were they profitable or not? And then we take that data, feed it into our model to get final…

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