Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: What is Chain Rule
In this video, we will explain what is 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,...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - What Is Chain Rule
This video explains about 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
Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 4
This is fourth of the five-part video on implementation in NumPy BackwardPass. 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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 1
This is first of the five-part video on implementation in NumPy BackwardPass. 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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Gradients of Convolutional Layer
This video explains gradients of the convolutional layer. 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...
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
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
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients Solution
In this video, we will understand why gradients solution. 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 - Gradient Descent in RNN: Why Gradients
In this video, we will understand why gradients. 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 section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule in Action
In this video, we will cover chain rules in action. 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 section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule
In this video, we will cover chain rules. 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 section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 4
In this video, we will cover implementation in NumPy BackwardPass 4. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 1
In this video, we will cover implementation in NumPy BackwardPass 1. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Extending to Multiple Filters
In this video, we will cover extending to multiple filters. 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...
Brian McLogan
Learn how to find the derivative of tangent using the quotient rule
👉 Learn how to find the derivative of a function using the quotient rule. The derivative of a function, y = f(x), is the measure of the rate of change of the function, y, with respect to the variable x. The process of finding the...
Flipping Physics
Deriving Drag Force Motion Equations
The position, velocity, and acceleration as a function of time equations for a dropped ball with a drag force acting on it are derived. The graphs for those equations are also shown. Want Lecture Notes?...
Brian McLogan
Find the derivative using product rule inside quotient
👉 Learn how to find the derivative of a function using the quotient rule. The derivative of a function, y = f(x), is the measure of the rate of change of the function, y, with respect to the variable x. The process of finding the...
Flipping Physics
Indefinite Integral Introduction and 4 Kinematic (UAM) Equation Derivations
The indefinite integral is defined and used to derive 4 kinematic or uniformly accelerated motion equations. Want Lecture Notes? https://www.flippingphysics.com/kinematic-equation-derivations.html This is an AP Physics C: Mechanics topic.
Professor Dave Explains
Advanced Stratety for Integration in Calculus
Extra practice for integration with tough examples.
msvgo
Derivatives of Functions in Parametric Forms
It explains how to find the derivatives of functions which are in parametric form.
Brian McLogan
Learn the basics to implicit differentiation
👉 Learn how to find the derivative of an implicit function. The derivative of a function, y = f(x), is the measure of the rate of change of the function, y, with respect to the variable x. The process of finding the derivative of a...
Brian McLogan
How to take the derivative using the chain rule with sine
👉 Learn how to find the derivative of a function using the chain rule. The derivative of a function, y = f(x), is the measure of the rate of change of the function, y, with respect to the variable x. The process of finding the derivative...
Professor Dave Explains
Derivatives of Composite Functions: The Chain Rule
Using the chain rule to take the derivative of composite functions.