In this article, we will first learn about a few distinguishing features of PyTorch. Next, we will use PyTorch to build a deep-learning model that can predict the year a song was released.
Welcome to the first project in the Mastering Deep Learning Through Projects series. In this project, we will use pretrained TensorFlow models to classify images. Our goal is to understand how to use pretrained models and compare their accuracies.
In this article, we will understand what deep learning is and get an overview of how it is implemented. This article sets the groundwork for subsequent articles where we will work on deep-learning projects.
