Deep Learning and Recommender Systems
Understand the fundamentals of deep learning and recommender systems, including artificial neural networks, popular libraries like PyTorch and TensorFlow, and filtering techniques. Learn how these systems predict user behavior and improve with larger datasets, enhancing your grasp on modern machine learning applications.
Deep Learning
Deep Learning is a subfield of Machine Learning that involves approaching problems by using Artificial Neural Networks. Artificial Neural Networks are inspired by the working 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: ...