Deep Learning - Recurrent Neural Networks with TensorFlow - Text Classification with LSTMs
Interactive Video
•
Computers
•
9th - 10th Grade
•
Practice Problem
•
Hard
Wayground Content
FREE Resource
This video tutorial covers text classification using RNNs, focusing on spam detection. It begins with an introduction to text classification and its applications, followed by setting up the environment in a collab notebook. The tutorial then guides through data preparation, including loading and cleaning data, and transforming text into sequences. Finally, it demonstrates building and training an RNN model using Tensorflow, achieving high accuracy in spam detection.
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3 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of padding sequences in the context of RNNs?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the role of the embedding layer in the model?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the model's accuracy change with the number of epochs during training?
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