Keras: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 9: | Line 9: | ||
[https://archive.org/details/cs231n-CNNs cs231n-CNNs 10 - Recurrent Nerual Networks Lecture] |
[https://archive.org/details/cs231n-CNNs cs231n-CNNs 10 - Recurrent Nerual Networks Lecture] |
||
[http://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/ Time Series Prediction with LSTMs] |
|||
Revision as of 10:39, 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 - Includes LTSM!!!, Also shows a webserver graph showing progress. How to make a 2d graph. And how to interpolate between numbers...
Help: 'Wrong number of dimensions: expected 3, got 2 with shape (...)