From the course: Deep Learning Foundations: Natural Language Processing with TensorFlow
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Challenge: Yelp review classifier - TensorFlow Tutorial
From the course: Deep Learning Foundations: Natural Language Processing with TensorFlow
Challenge: Yelp review classifier
(upbeat techno music) - [Instructor] So you've seen how an LSTM layer or a convolutional layer can be added to the model to classify text. Now, in this particular challenge, I want you to implement and explore LSTM and convolution model over this new Yelp review dataset from TensorFlow dataset package. Now, I have already provided the code snippet to download the Yelp popularity reviews. So accordingly, you will have both your training testing as well with the IMDb dataset from the TFDS package. So you have to fill up all of these blanks: vocabulary size, embedding dimension. Feel free to tweak your parameters, manipulate those numbers. And try a combination of them, different combinations. And then you have to define the model first. Try to work with an LSTM model and then do a CNN. So fill up all of these blanks and see how you get to classify those texts. And what sort of accuracy and loss you witness with the new…
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