mindwrapped/collaborative-filtering-movielens-copyima是什么软件

Model description

This repo contains the model and the notebook on how to build and train a Kerasai软件哪个比较好 model for Collaborative Filtering for Movie Recommendations.

Full credits to Siddhartha Banerjee.ai是什么东西?

Intended uses & limitations

Based on a user and movies they have rated highly in the past, this model outputs the predicted rating a user would give to a movie they haven’t seen yet (between 0-1). This information can be used to find out the top recommended movies for this user.百度流畅ai制作

Training and evaluation data

The dataset consists of user’s ratings on specific movies. It also consists of the movie’s specific genres.制作ai的软件

Training procedure

The model was trained for 5 epochs with a batch size of 64.有戏ai

Training hyperparameters

The following hyperparameters were used during training:百度aiapp

• optimizer: {‘name’: ‘Adam’, ‘learning_rate’: 0.001, ‘decay’: 0.0, ‘beta_1’: 0.9, ‘beta_2’: 0.999, ‘epsilon’: 1e-07, ‘amsgrad’: False}
• training_precision: float32

Training Metrics

Model Plot