Curated Video
Graphs: Finding the Point of Intersection between a Line and the X-axis
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 2HR Q13, which involves finding the point of intersection between a line and the x-axis. Students will understand the properties of perpendicular...
KnowMo
Equations of a Straight Line from Coordinates
This video provides a lecture on how to calculate the equation of a straight line using coordinates. The presenter explains the formula for a linear graph, which is Y = MX + C, where M is the gradient and C is the Y-intercept. The video...
Apalapse
Camera Basics - Dynamic Range
Hey everyone, it's been awhile since I've uploaded a Camera Basics video! In this episode I go over dynamic range and try to explain it in an easy way. Let me know if the video helped and if you have any further questions! Dynamic Range...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Gradient Descent
This video explains about gradient descent. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Backpropagation
This video explains backpropagation. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural network.
Curated Video
Python for Deep Learning - Build Neural Networks in Python - What is Gradient Descent?
In this video, we will understand what Gradient Descent is. This clip is from the chapter "Gradient Descent Algorithm" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover Gradient...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Exercise Solution
This is an exercise solution video on gradient descent. 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 foundation...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent
This video demonstrates about gradient descent. 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 foundation for...
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
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Summary
This is a summary video on gradient descent. 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 foundation for deep RL.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Optimizations
This video explains about DNN optimizations. 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 foundation for deep RL.
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Local Minima Problem
In this video, we will talk about the local minima problem. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
Curated Video
Powerful Presentations With Google Slides - Slide Backgrounds
After this video, the viewer will be able to alter the existing slide background or apply a new background to the slide.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 6
In this video, we will cover language modelling next word prediction Python 6. 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...
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 - Gradient Descent in RNN: Backpropagation Through Time
In this video, we will cover backpropagation through time. 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 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
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Derived Features Histogram of Gradients Local Binary Patterns
In this video, we will cover derived features histogram of gradients local binary patterns. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
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...
Curated Video
Finding the Line of Symmetry for an Isosceles Triangle - Algebraic Solution
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1H Q20, which requires that the learner find an equation for the line of symmetry of an isosceles triangle. By the end of the video, learners will...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Why Derivatives
This video explains the need of derivatives. 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 - 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 5
This is fifth 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 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...