Deep Learning and Recommender Systems
Understand the fundamentals of deep learning and how artificial neural networks function. Learn about recommender systems including content-based, collaborative, and hybrid methods. This lesson helps you grasp how these systems predict user preferences and enhance machine learning applications.
Deep learning
Deep learning is a subfield of machine learning that approaches problems using artificial neural networks, which are inspired by the structure and functioning of the human brain. Deep learning methods have been proven to have several advantages over classical machine learning methods. A plain neural network has an input layer, a hidden layer, and an output layer. Two famous libraries used for making neural networks are PyTorch and TensorFlow.
What is PyTorch?
It’s a Python-based scientific computing package targeted at two sets of audiences:
- A replacement for NumPy to use the power of GPUs
- A deep learning