Shuffle Video timelines in LSTM RNN
I have Video, which I can split into some training examples. And I'm bringing it into timeline, to 100 examples, of 10 frames or 1000 features (just for ex.).
Then I using simple Keras RNN with train data above, Without shuffle. On random Cross Validation, my model predicts very good, MSE around 10. But making the same process With shuffle, I'm getting around MSE 150 on the random Cross Validation examples.
I should have better prediction on Cross Validation with Shuffle. And it's not the case, above. What is the reason for that. And what is general technology for shuffle training data in a video.
python machine-learning keras recurrent-neural-network
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
add a comment |
I have Video, which I can split into some training examples. And I'm bringing it into timeline, to 100 examples, of 10 frames or 1000 features (just for ex.).
Then I using simple Keras RNN with train data above, Without shuffle. On random Cross Validation, my model predicts very good, MSE around 10. But making the same process With shuffle, I'm getting around MSE 150 on the random Cross Validation examples.
I should have better prediction on Cross Validation with Shuffle. And it's not the case, above. What is the reason for that. And what is general technology for shuffle training data in a video.
python machine-learning keras recurrent-neural-network
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
add a comment |
I have Video, which I can split into some training examples. And I'm bringing it into timeline, to 100 examples, of 10 frames or 1000 features (just for ex.).
Then I using simple Keras RNN with train data above, Without shuffle. On random Cross Validation, my model predicts very good, MSE around 10. But making the same process With shuffle, I'm getting around MSE 150 on the random Cross Validation examples.
I should have better prediction on Cross Validation with Shuffle. And it's not the case, above. What is the reason for that. And what is general technology for shuffle training data in a video.
python machine-learning keras recurrent-neural-network
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
I have Video, which I can split into some training examples. And I'm bringing it into timeline, to 100 examples, of 10 frames or 1000 features (just for ex.).
Then I using simple Keras RNN with train data above, Without shuffle. On random Cross Validation, my model predicts very good, MSE around 10. But making the same process With shuffle, I'm getting around MSE 150 on the random Cross Validation examples.
I should have better prediction on Cross Validation with Shuffle. And it's not the case, above. What is the reason for that. And what is general technology for shuffle training data in a video.
python machine-learning keras recurrent-neural-network
python machine-learning keras recurrent-neural-network
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
asked Nov 19 '18 at 18:06
GensaGamesGensaGames
1,525726
1,525726
add a comment |
add a comment |
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