5.2: Multiclass Classification for Deep Neural Networks, Keras and TensorFlow (Module 5, Part 2)

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Using keras for multiclass classification. Confusion matrix. This video is part of a course that is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at Washington University in St. Louis

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Комментарии
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Very nice series with specific reference to Keras. Much appreciated.

CFAinNoVA
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I have time series discrete data, what would be the best approach to use for prediction?

azizamer
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Shouldn't it be
model.fit(X_train, Y_train, epochs=epochs, verbose=2, validation_data=(X_test, Y_test), callbacks = [checkpointer, monitor])
you are fitting the model on all of x and y

miraekladious
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How should i apply classification for time series data in Keras?

shreyaswaghmare
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what if my data was images i have 4 class of images ? the video shown was .csv .-.

aldiramdani
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