Machine Learning
December 1, 2020
Gradient Descent Cost Function Hypothesis Function Artificial Neural Network
Gradient Descent Cost Function Hypothesis Function Artificial Neural Network
An optimization algorithm for finding the local minimum of a differentiable function. (The red arrows show the … ...
A function which maps values \(x\) to an output value \(y\). Historically, in ML, hypothesis functions are denoted …
Artificial Neural Network (ANN) Layers All learning occurs in the layers. In the image, below, there are three layers, … ...
A linear mapping from a vector space to a field of scalars. In other words, a linear function which acts upon a vector … ...
Tensors Tensor Product
Bases Bases Transformation Coordinate Transformation Covectors Dual Space Identity Matrix Invertible Matrix Invertible …
A mapping from \(\mathbf{V} \rightarrow \mathbf{W}\) that preserves the operations of addition and scalar …
A function of several variables that is linear, separately, in each variable. A multilinear map of one variable is a …