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[https://keras.io/getting-started/faq/#how-can-i-interrupt-training-when-the-validation-loss-isnt-decreasing-anymore how-can-i-interrupt-training-when-the-validation-loss-isnt-decreasing-anymore] |
[https://keras.io/getting-started/faq/#how-can-i-interrupt-training-when-the-validation-loss-isnt-decreasing-anymore how-can-i-interrupt-training-when-the-validation-loss-isnt-decreasing-anymore] |
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[https://github.com/fchollet/keras/issues/3107 Dimension mismatch in LSTM] - |
[https://github.com/fchollet/keras/issues/3107 Dimension mismatch in LSTM] - Your input should be in this format (sequences, timesteps, dimensions). So based on your example, your input should be in (None, 8, 2). Your input now is (8,2). |
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Revision as of 23:01, 2 January 2017
Keras Callbacks how-can-i-interrupt-training-when-the-validation-loss-isnt-decreasing-anymore
Dimension mismatch in LSTM - Your input should be in this format (sequences, timesteps, dimensions). So based on your example, your input should be in (None, 8, 2). Your input now is (8,2).