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Stephen Rauch ♦
Stephen Rauch ♦
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I had the same condition: High accacc and low vad_accvad_acc. It

It was because the parameter of Keras.model.fit, validation_split. This

This will separate the last section of data as validation data. Therefore, if your data was in order, your validity data will be in the same case. Try to shuffle the training data.

I had the same condition: High acc and low vad_acc. It was because the parameter of Keras.model.fit, validation_split. This will separate the last section of data as validation data. Therefore, if your data was in order, your validity data will be in the same case. Try to shuffle the training data.

I had the same condition: High acc and low vad_acc.

It was because the parameter of Keras.model.fit, validation_split.

This will separate the last section of data as validation data. Therefore, if your data was in order, your validity data will be in the same case. Try to shuffle the training data.

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龔柏翰
龔柏翰
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I had the same condition: High acc and low vad_acc. It was because the parameter of Keras.model.fit, validation_split. This will separate the last section of data as validation data. Therefore, if your data was in order, your validity data will be in the same case. Try to shuffle the training data.