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Planing on a vast re-write of the neural network implementation.
Noticed a significant performance regression comparing some of the older implementations.
The feature set the was desired was not clear when creating the current implementation, to accustom more rapid development in the future, I am planning on re-writing the neural-network related architecture.
The text was updated successfully, but these errors were encountered:
how about this work? The other problem, the trained data to predict, the output is so good, but the close date that not trained to predict, it is so bad, i have low the epoch, but the result is same. how to solve this problem?
Planing on a vast re-write of the neural network implementation.
Noticed a significant performance regression comparing some of the older implementations.
The feature set the was desired was not clear when creating the current implementation, to accustom more rapid development in the future, I am planning on re-writing the neural-network related architecture.
The text was updated successfully, but these errors were encountered: