Recommender Systems: An Applied Approach using Deep Learning - Inference after Training

The video tutorial explains the process of training a neural network with data and checking its accuracy. It then moves on to the inference stage, where the model is deployed as a service to predict new interactions. The tutorial further elaborates on how a recommendation system uses neural networks to suggest items based on user interaction likelihood. Finally, it introduces the basic concept and mechanism of developing recommendation systems using deep learning.

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