The differences between neural network binary classification and multinomial classification are surprisingly tricky. In this article I explain two different approaches to implement neural network ...

When using the scikit library for binary classification, the main alternative to the MLPClassifier neural network module is the scikit DecisionTreeClassifier module. Decision trees are useful for ...

An alternative to manual design is “neural architecture search” (NAS), a series of machine learning techniques that can help discover optimal neural networks for a given problem.

We observed that the XCeption-based model achieved the highest F1 score (99.52%) followed by the ResNet-based model (99.48%) and the harmonic-series–based model (99.45%). The deep CNN architecture is ...

Bing has introduced “Make Every feature Binary” (MEB), a large-scale sparse model that complements its production Transformer models to improve search relevance, the company announced ...