In this article, we would first cover the traditional TF-IDF approach for document classification. TF-IDF stands for term frequency-inverse document frequency. TF-IDF is a numerical statistic often used as a weighing factor for words in a document, and as a proxy for how important a word in a document is in relation to ...

PyTorch is an open source deep learning framework that is used as a base for many modern machine learning applications such as computer vision and Natural Language Processing. It is the Python implementation of the Torch library built in Lua. If you are familiar with the popular transformers library from ...

Designing a neural network means creating the right architecture to achieve optimum results. This optimum, more than often, is 'vague' as this depends on the balance of model performance and computational expenses required to train the model and predict. However, even with this loosely defined term 'optimum', to begin with ...