Batch Normalization and why it works
Batch Normalization (BatchNorm) is a very frequently used technique in Deep Learning, however, the reason why it works is often interpreted ambiguously. Continue reading Batch Normalization and why it works
Tag: Sigmoid Function
Rectifier Linear Unit (ReLU)
Despise its simplicity, ReLU previously achieved the top performance over various tasks of modern Machine Learning. Continue reading Rectifier Linear Unit (ReLU)
Sigmoid, tanh activations and their loss of popularity
The sigmoid and tanh activation functions were very frequently used in the past but have been losing popularity in the era of Deep learning. Continue reading Sigmoid, tanh activations and their loss of popularity
An overview of Logistic Regression
The first blog on a series about Logistic Regression. Continue reading An overview of Logistic Regression