Vector norms occupy an important space in the context of machine learning especially when computing similarities between items. This article breaks down the idea of L¹, L², L∞, and the Lᵖ norms in simple terms.
Emotion Recognition is a common classification task. However, most of the datasets available for this purpose consist of only two polarities — positive, negative, and at times neutral. This article explores a new emotion dataset that consists of eight basic emotions, including anger, anticipation, disgust, fear, joy, sadness, surprise, and trust
A few months back, the TensorFlow Decision Forests, aka TF-DF library, was open-sourced by Google. TF-DF provides a unified API for both tree-based models as well as neural networks. It is helpful for training, serving, inferencing, and interpreting the Decision Forest models.
