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[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). |
[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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[https://blog.keras.io/building-autoencoders-in-keras.html Building Autoencoders in Keras] - Also shows a webserver graph showing progress. |
[https://blog.keras.io/building-autoencoders-in-keras.html Building Autoencoders in Keras] - Also shows a webserver graph showing progress. How to make a 2d graph. And how to interpolate between numbers... |
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Revision as of 01:49, 3 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).
Building Autoencoders in Keras - Also shows a webserver graph showing progress. How to make a 2d graph. And how to interpolate between numbers...