Find the best ANN architecture for my dataset
Budget: €30 – €250 EUR
Hello,
I need help finding the best architecture for my dataset. I am using a number of recurrent layers (https://keras.io/api/layers/recurrent_layers/) but the current validation accuracy is really low (maximum 30%)
The output layer has 6 features and I can share my current work. I just don't have enough time to look for the best architecture.
The task should be fairly easy for someone experienced in ANN architectures.
I am also ok to train multiple separated models if achieving high accuracy on the 6 features is not possible
I need at least 70% accuracy on the validation set.
Thank you
I need help finding the best architecture for my dataset. I am using a number of recurrent layers (https://keras.io/api/layers/recurrent_layers/) but the current validation accuracy is really low (maximum 30%)
The output layer has 6 features and I can share my current work. I just don't have enough time to look for the best architecture.
The task should be fairly easy for someone experienced in ANN architectures.
I am also ok to train multiple separated models if achieving high accuracy on the 6 features is not possible
I need at least 70% accuracy on the validation set.
Thank you