KERAS Tokenizer Explained in Python [2023] 🔴

Pubblicato il: 21 novembre 2020
sul canale di: Financial Programming with Ritvik, CFA

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In this video, I explained what is Keras Tokenizer in Python. Then we talked about padding to make it ready for further analysis. Click "Show more" to learn more 👇:-

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What is Keras Tokenizer?
Keras provides the Tokenizer class for preparing text documents. The Tokenizer must be constructed and then fit on either raw text documents or integer encoded text documents. Keras.preprocessing.text import Tokenizer... Keras Tokenizer is used to convert words into numbers.

What is Padding?
pad_sequences is used to make lists of the same length. It is achieved by putting the appropriate number of zeros before or after the sentence.

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📺 Word embeddings with KERAS Embedding layer in Python:    • Word embeddings with *KERAS* Embedding lay...

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⌚TimeStamps:
Introduction (0:00)
Keras Tokenizer Explained (1:12)
Keras Tokenizer functions (4:30)
Keras Tokenizer Padding (10:10)
Outro (12:50)

I used Anaconda jupyterlab for this code. It is an amazing platform for beginners. #fpritvik

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