It can not only process single data points (such as images), but also entire sequences of data (such as speech or video). For example, LSTM is applicable to tasks such as unsegmented, connected handwriting recognition or speech recognition. Unlike standard feedforward neural networks, LSTM has feedback connections that make itContinue Reading
Quantum mechanics describes the smallest scales of energy levels of atoms/waves and subatomic particles/waves. * Most theories in classical physics can be derived from quantum mechanics as an approximation valid at large macroscopic scale. * Quantum mechanics differs from classical physics in that energy, momentum, angular momentum and other quantitiesContinue Reading
Gradient is a vector that is made up from a the derivatives of multi-variate function. Gradient of an Image = ∇f = [∂f/∂x,∂f/∂y] The gradient of a function is the vector direction/angle of the most rapid increase in Intensity(Getting Brighter), and the magnitude of that vector is how much itContinue Reading
R Squared is the coefficient of determination it normally ranges from 0 to 1, and provides a measure of how well observed outcomes, are replicated by the model. The formula is: Residual(Error) sum of squares (RSS), also known as (SSR) , is the sum of the squares of theContinue Reading
Yair Shinar for Clarity and Solutions