Keras: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 4: | Line 4: | ||
[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). |
||
[https://blog.keras.io/building-autoencoders-in-keras.html Building Autoencoders in Keras] |
[https://blog.keras.io/building-autoencoders-in-keras.html Building Autoencoders in Keras] - Also shows a webserver graph showing progress. |
||
Revision as of 01:38, 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.