• Built a Recommender system with Stacked Autoencoder on MovieLens 100k dataset using PyTorch framework. • Converted the data into torch tensors and used three hidden layers of 20, 10 and 20 nodes with sigmoid activation function. • Achieved test loss of 0.98 and did hyperparameter optimization to get the best parameters and reduce the error to 0.94
vchauha/Recommender_System
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|