Professor Dave Explains
The Quantum Harmonic Oscillator Part 2: Solving the Schrödinger Equation
We just introduced the classical harmonic oscillator, so now let's look at the quantum version! Obviously this is much trickier, but let's solve the Schrödinger equation and see what the solution tells us about the quantum world.
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights
In this video, you will learn how to update weights. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Automatic Differentiation PyTorch
This video explains automatic differentiation in PyTorch. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Automatic Differentiation PyTorch
In this video, we will cover automatic differentiation PyTorch. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Automatic Differentiation PyTorch New
In this video, we will cover automatic differentiation PyTorch New. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Packt
Fundamentals of Neural Networks - Backward Propagation Through Time
Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train Elman networks. The algorithm was independently derived by numerous researchers. This clip...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Chain Rule for Backpropagation
In this video, you will learn about the chain rule for backpropagation. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Basics of Backpropagation
In this video, you will learn about basics of backpropagation. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Math Fortress
Differential Equations: Definitions and Terminology (Level 4 of 4)
This video introduces the basic definitions and terminology of differential equations. This video goes over 8 examples covering how to classify Partial Differential Equations (PDE) by order and linearity.
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: Multivariable Calculus: Gradient of a Scalar Field
Video finding a gradient in three dimensions by using an example about temperature in a 3-D room. Graph of the vector field found in the solution is shown. [10:54]
Khan Academy
Khan Academy: Multivariable Calculus: Gradient 1
Video lesson introducing gradients in two dimensions by calculating a gradient and then explaining what it is using a 3-D graph. [9:45]
Khan Academy
Khan Academy: Calculus: Partial Derivatives of Vector Valued Functions
Video showing how to take the partial derivatives of a generalized vector-valued function by taking the partial derivative of each part of the function. Video is meant as a build-up to the videos on surface integrals. [10:07]
Khan Academy
Khan Academy: Surface Integrals: Partial Derivatives of Vector Valued Functions
Video showing how to take the partial derivatives of a generalized vector-valued function by taking the partial derivative of each part of the function.