3Blue1Brown
But what is a partial differential equation? | DE2
The heat equation, as an introductory PDE.
3Blue1Brown
Backpropagation calculus | Deep learning, chapter 4
The math of backpropagation, the algorithm by which neural networks learn.
3Blue1Brown
Backpropagation calculus | Appendix to deep learning chapter 3
The math of backpropagation, the algorithm by which neural networks learn.
3Blue1Brown
Backpropagation calculus: Deep learning - Part 4 of 4
The math of backpropagation, the algorithm by which neural networks learn.
Catalyst University
Phase Diagrams | The Clausius-Clapeyron Equation [Complete Derivation]
In this video, I show the complete derivation of both the Clausius Equation & the related Clausius-Clapeyron Equation.
Catalyst University
Phase Diagrams | The Clausius-Clapeyron Equation [Derivation Pt. I]
In this video, I show the complete derivation for the Clausius Equation (Part 1). The derivation of the related Clausius-Clapeyron Equation is provided in the link below (Part 2):
Virtually Passed
Fitting a Line using Least Squares #SoME2
The Least Squares method is widely used to fit curves to data. This is called Least Squares regression. This video shows how to solve the ordinary least squares minimization problem for 1 unknown and 2 unknowns. In practice though, it...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Applying Chain Rule
This video explains how to apply the chain rule. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Applying Chain Rule
In this video, we will cover applying chain rule. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Catalyst University
Partial Derivatives: Total Differentials
Partial Derivatives: Total Differentials
Professor Dave Explains
Partial Derivatives and the Gradient of a Function
An introduction to partial derivatives and defining the concept of gradient.
Khan Academy
Khan Academy: Proof (Pt 3) Minimizing Squared Error to Regression Line
Video is the fourth of five related videos about deriving the formula for the least squares regression line. This video shows using partial derivatives and setting them equal to 0 to get closer to deriving the formula for m and b. It...
Khan Academy
Khan Academy: Exact Equations and Integrating Factors: Exact Equations
In this video lesson students explore the chain rule using partial derivatives.
Khan Academy
Khan Academy: Integration by Parts: Deriving Integration by Parts Formula
In this video lesson students review the Product Rule and from that derive the formula for integration by parts.
Khan Academy
Khan Academy: Integration by Parts: Integration by Parts Twice
In this video lesson students take the antiderivative of a function.