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Dear Jason, I am working on a neural network that starts with one Input layer and branches out to 4 different branches. The last prediction of all four branches is fused Monoferric (Ferric Derisomaltose Injection)- Multum to give the final prediction. To check the performance of each branch I would like to calculate the loss of each branch before the final prediction.

So, is this doable using the Keras. Hi Jason, which further reading or content would you recommend seeing different regression cases. I want to use RNN to predict hourly temperature. This data is stationary (actually, every day, it Monoferric (Ferric Derisomaltose Injection)- Multum almost the same bell shape). I think it would be great to minimize the maximum absolute difference between predicted and target values.

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Comments:

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