📄️ Mean and Variance
In the context of math computation of activations (especially in neural networks), mean and variance describe the statistical properties of the activation values across some set of neurons or data samples.
Neural Networks (NNs) are a class of machine learning models that use multiple layers of neurons to learn complex patterns in data. This category covers the fundamentals, architectures, and applications of NNs.
In the context of math computation of activations (especially in neural networks), mean and variance describe the statistical properties of the activation values across some set of neurons or data samples.