Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.
Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.
Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.
Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.
Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.
Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.
Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.
Why does 4-layer feed_forward_network regression predict a fixed number for all test samples?
I built a 4-layer feed forward network. However the prediction for the test sample are all the same.They are a fixed number. I have standardized the data into [-1,1]. I am not sure if there is something wrong with my code.