Shuffle Video timelines in LSTM RNN
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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 at 18:06
GensaGames
1,517726
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up vote
0
down vote
favorite
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 at 18:06
GensaGames
1,517726
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
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 at 18:06
GensaGames
1,517726
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 at 18:06
GensaGames
1,517726
asked Nov 19 at 18:06
GensaGames
1,517726
asked Nov 19 at 18:06
GensaGames
1,517726
asked Nov 19 at 18:06
GensaGames
1,517726
asked Nov 19 at 18:06
GensaGames
1,517726
1,517726
add a comment |
add a comment |
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