rushabh-v/Autoencoder-4-to-3-variables

An Autoencoder to compress 4 variables into 3 variables.

Autoencoder - encode 4 variables into 3

Below are few of the models I tried and the corresponding MSE Losses for those models.

Architecture	MSE loss
NN with only Linear and Tanh layers	~0.021
NN with Linear, Tanh and BatchNorm layers	0.0161
NN with Linear, Tanh and BatchNorm layers, and with principal components concatenated to the Data	0.00774
NN with Linear, Tanh and BatchNorm layers, and with singular values concatenated to the Data	0.00706