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Showing posts with the label Classification
Bert Get Sentence Level Embedding After Fine Tuning

Bert Get Sentence Level Embedding After Fine Tuning

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I came across this page 1) I would like to get sentence level embedding (embedding given by [CLS] t… Read more Bert Get Sentence Level Embedding After Fine Tuning
Specific Number Of Test/train Size For Each Class In Sklearn

Specific Number Of Test/train Size For Each Class In Sklearn

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Data: import pandas as pd data = pd.DataFrame({'classes':[1,1,1,2,2,2,2],'b':[3,4,5… Read more Specific Number Of Test/train Size For Each Class In Sklearn
How To Add A Feature To A Vectorized Data Set?

How To Add A Feature To A Vectorized Data Set?

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I want to write a Naive Base text classificator. Because sklearn does not accept 'text form… Read more How To Add A Feature To A Vectorized Data Set?
Defining A Function For Changing Column Values And Creating New Datasets

Defining A Function For Changing Column Values And Creating New Datasets

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I am trying to define a function where it will take a dataframe and change values in a column to cr… Read more Defining A Function For Changing Column Values And Creating New Datasets
Keras: Binary_crossentropy & Categorical_crossentropy Confusion

Keras: Binary_crossentropy & Categorical_crossentropy Confusion

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After using TensorFlow for quite a while I have read some Keras tutorials and implemented some exam… Read more Keras: Binary_crossentropy & Categorical_crossentropy Confusion
Detecting Audio Inside Audio [audio Recognition]

Detecting Audio Inside Audio [audio Recognition]

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I need to build a software that does audio recognition from a small audio sample (A) inside other a… Read more Detecting Audio Inside Audio [audio Recognition]