Avoid echoing with LSTM
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In this twitter thread https://twitter.com/jlowin/status/1061085224862433280, Jeremiah says that the author makes the error of echoing in this article https://heartbeat.fritz.ai/using-a-keras-long-shortterm-memory-lstm-model-to-predict-stock-prices-a08c9f69aa74
"3/6 The echo is the result of a model collapsing in a fit of maximum worthlessness. The model is saying, "My best guess is that tomorrow is pretty much going to be like today," or x_t+1 ≈ x_t. You don't need an AI for that. You barely need a calculator."
Whats wrong with the author model? how should he have done to avoid echo?
Thanks
machine-learning deep-learning lstm
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In this twitter thread https://twitter.com/jlowin/status/1061085224862433280, Jeremiah says that the author makes the error of echoing in this article https://heartbeat.fritz.ai/using-a-keras-long-shortterm-memory-lstm-model-to-predict-stock-prices-a08c9f69aa74
"3/6 The echo is the result of a model collapsing in a fit of maximum worthlessness. The model is saying, "My best guess is that tomorrow is pretty much going to be like today," or x_t+1 ≈ x_t. You don't need an AI for that. You barely need a calculator."
Whats wrong with the author model? how should he have done to avoid echo?
Thanks
machine-learning deep-learning lstm
New contributor
Welcome to SO; please do take some time to read What topics can I ask about here?
– desertnaut
yesterday
I'm voting to close this question as off-topic because it is not related to programming
– desertnaut
yesterday
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
In this twitter thread https://twitter.com/jlowin/status/1061085224862433280, Jeremiah says that the author makes the error of echoing in this article https://heartbeat.fritz.ai/using-a-keras-long-shortterm-memory-lstm-model-to-predict-stock-prices-a08c9f69aa74
"3/6 The echo is the result of a model collapsing in a fit of maximum worthlessness. The model is saying, "My best guess is that tomorrow is pretty much going to be like today," or x_t+1 ≈ x_t. You don't need an AI for that. You barely need a calculator."
Whats wrong with the author model? how should he have done to avoid echo?
Thanks
machine-learning deep-learning lstm
New contributor
In this twitter thread https://twitter.com/jlowin/status/1061085224862433280, Jeremiah says that the author makes the error of echoing in this article https://heartbeat.fritz.ai/using-a-keras-long-shortterm-memory-lstm-model-to-predict-stock-prices-a08c9f69aa74
"3/6 The echo is the result of a model collapsing in a fit of maximum worthlessness. The model is saying, "My best guess is that tomorrow is pretty much going to be like today," or x_t+1 ≈ x_t. You don't need an AI for that. You barely need a calculator."
Whats wrong with the author model? how should he have done to avoid echo?
Thanks
machine-learning deep-learning lstm
machine-learning deep-learning lstm
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Welcome to SO; please do take some time to read What topics can I ask about here?
– desertnaut
yesterday
I'm voting to close this question as off-topic because it is not related to programming
– desertnaut
yesterday
add a comment |
Welcome to SO; please do take some time to read What topics can I ask about here?
– desertnaut
yesterday
I'm voting to close this question as off-topic because it is not related to programming
– desertnaut
yesterday
Welcome to SO; please do take some time to read What topics can I ask about here?
– desertnaut
yesterday
Welcome to SO; please do take some time to read What topics can I ask about here?
– desertnaut
yesterday
I'm voting to close this question as off-topic because it is not related to programming
– desertnaut
yesterday
I'm voting to close this question as off-topic because it is not related to programming
– desertnaut
yesterday
add a comment |
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Z8888 is a new contributor. Be nice, and check out our Code of Conduct.
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Welcome to SO; please do take some time to read What topics can I ask about here?
– desertnaut
yesterday
I'm voting to close this question as off-topic because it is not related to programming
– desertnaut
yesterday