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Why Keras MAPE metric is exploding during training but MSE loss is not?

score 4114 · Answer 1 · 2024-12-09 05:50:26

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4114

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Why Keras MAPE metric is exploding during training but MSE loss is not?

4.1k views Asked by bcsta At 09 December 2024 at 05:50

score 2883 · Answer 2 · 2024-12-09 05:46:54

Stateful LSTM Tensorflow Invalid Input_h Shape Error

2.8k views Asked by glorian At 09 December 2024 at 05:46

score 210 · Answer 3 · 2024-12-09 05:46:07

Build LSTM model for one inupt and two outputs

210 views Asked by Sadcow At 09 December 2024 at 05:46

score 54 · Answer 4 · 2024-12-09 05:47:32

can't forecast after fit my model to my data with LSTM

54 views Asked by Tom thmous At 09 December 2024 at 05:47

score 245 · Answer 5 · 2024-12-09 05:46:14

LSTM with Keras to optimize a black box function

245 views Asked by Stefano Mangini At 09 December 2024 at 05:46

score 410 · Answer 6 · 2024-12-09 05:53:04

ValueError: Input 0 of layer lstm_14 is incompatible with the layer: expected ndim=3, found ndim=4. Full shape received: [None, 12, 12, 64]

410 views Asked by Manvir Kaur At 09 December 2024 at 05:53

score 212 · Answer 7 · 2024-12-09 05:50:24

Pytorch: Having trouble understanding the inline replacement happening

212 views Asked by Eliethesaiyan At 09 December 2024 at 05:50

score 286 · Answer 8 · 2024-12-09 05:52:20

How can I get a stateful LSTM to reset its states between epochs during a Keras Tuner search?

286 views Asked by WVJoe At 09 December 2024 at 05:52

score 88 · Answer 9 · 2024-12-29 12:58:22

Let me understand the model

88 views Asked by Sohrab Khan At 29 December 2024 at 12:58

score 651 · Answer 10 · 2024-12-09 05:51:55

Can I split my long sequences into 3 smaller ones and use a stateful LSTM for 3 samples?

651 views Asked by codeananda At 09 December 2024 at 05:51

TechQA.

List Question

Why Keras MAPE metric is exploding during training but MSE loss is not?

Stateful LSTM Tensorflow Invalid Input_h Shape Error

Build LSTM model for one inupt and two outputs

can't forecast after fit my model to my data with LSTM

LSTM with Keras to optimize a black box function

ValueError: Input 0 of layer lstm_14 is incompatible with the layer: expected ndim=3, found ndim=4. Full shape received: [None, 12, 12, 64]

Pytorch: Having trouble understanding the inline replacement happening

How can I get a stateful LSTM to reset its states between epochs during a Keras Tuner search?

Let me understand the model

Can I split my long sequences into 3 smaller ones and use a stateful LSTM for 3 samples?

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