Closed NeonKazuha closed 8 months ago
Thoroughly cleaned, preprocessed data.
Used Artificial Neural Networks with Sequential, Dense, BatchNormalization and Dropout.
The activation function used is relu.
Optimizer used is adam.
Loss used is Mean Squared Error.
Metrics used is Mean Absolute Error.
As both the loss and Mean absolute errors are of negligible value, this ANN works efficiently.
@darshbaxi @rootCircle Please Review.
Awesome! looks good:)
Thoroughly cleaned, preprocessed data.
Used Artificial Neural Networks with Sequential, Dense, BatchNormalization and Dropout.
The activation function used is relu.
Optimizer used is adam.
Loss used is Mean Squared Error.
Metrics used is Mean Absolute Error.
As both the loss and Mean absolute errors are of negligible value, this ANN works efficiently.