Instructional Video3:43
Curated Video

GCSE Secondary Maths Age 13-17 - Graphs: Distance-Time Graphs - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow steps. This video...
Instructional Video7:12
Curated Video

GCSE Secondary Maths Age 13-17 - Algebra: Inequalities - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow steps. This video...
Instructional Video4:10
Curated Video

GCSE Secondary Maths Age 13-17 - Algebra: Inequalities - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow steps. This video...
Instructional Video2:28
Curated Video

GCSE Secondary Maths Age 13-17 - Graphs: Straight Lines and Gradients - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow steps. This video...
Instructional Video4:54
Curated Video

GCSE Secondary Maths Age 13-17 - Probability & Statistics: Scatter Diagram - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow steps. This video...
Instructional Video5:23
Curated Video

Deep Learning with Python (Video 5)

Higher Ed
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python....
Instructional Video14:18
Curated Video

Animated Postcard Image Reveal in PowerPoint

Pre-K - Higher Ed
In this tutorial, I'll show you how to create an effect that looks as though an image is being created from overlapping postcards, which may be animated.
Instructional Video10:12
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)

Higher Ed
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)
Instructional Video2:43
Curated Video

Comprehensive Android Developer Bootcamp - XML Gradient

Higher Ed
Android Material Design and Themes:XML Gradient This clip is from the chapter "Android Material Design and Themes" of the series "The Comprehensive Android Developer Bootcamp".This section shows how to work with Android Design and...
Instructional Video16:36
Curated Video

Comprehensive Android Developer Bootcamp - User Interface Overhaul - Revamp

Higher Ed
Build a Journal App with Firestore:User Interface Overhaul - Revamp This clip is from the chapter "Build a Journal App with Firestore" of the series "The Comprehensive Android Developer Bootcamp".In this section you will see how to build...
Instructional Video2:38
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent Summary

Higher Ed
In this video, we will cover DNN gradient descent summary. 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 this...
Instructional Video4:14
FuseSchool

Equation Of Parallel Lines

6th - Higher Ed
In this video, we are going to look at parallel lines. You should already know that straight lines follow the equation y=mx+c and how to find the gradient. On a graph, parallel lines run in the same direction, with the same steepness....
Instructional Video6:32
Curated Video

Using Circle Theorems: Angle and Semicircle as a Right Angle

Higher Ed
The video is a lecture presentation on the usage of circle theorems, focusing on angles and semicircles being a right angle. The instructor explains how to apply the theorem to find the gradient of lines on the circle, how to prove the...
Instructional Video7:03
Curated Video

Comprehensive Android Developer Bootcamp - Gradients

Higher Ed
Drawing on Canvas in Android:Gradients This clip is from the chapter "Drawing on Canvas in Android" of the series "The Comprehensive Android Developer Bootcamp".This section shows you how to draw on the Canvas in Android and explore its...
Instructional Video6:18
Curated Video

Figma for UIUX Master Web Design in Figma - The Basics of Working with Color

Higher Ed
This video explains the basics of working with color. This clip is from the chapter "Discover the Most important Things about Figma" of the series "Figma for UI/UX: Master Web Design in Figma".This section focuses on the most important...
Instructional Video4:15
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent Exercise Solution

Higher Ed
In this video, we will cover DNN gradient descent exercise solution. 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...
Instructional Video6:18
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Data Visualization and Reading

Higher Ed
In this video, we will talk about some helper functions for plotting and drawing lines for data visualization and reading. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners...
Instructional Video4:25
Curated Video

Rocking Out With Photoshop - How to add color treatments to text in Photoshop

Pre-K - Higher Ed
Photoshop is frequently used to enhance text. In this video, Mark will demonstrate some techniques for using color treatments with text in Photoshop.
Instructional Video2:33
NASA

NASA | Gradient Sun

3rd - 11th
Watching a particularly beautiful movie of the sun helps show how the lines between science and art can sometimes blur. But there is more to the connection between the two disciplines: science and art techniques are often quite similar,...
Instructional Video6:43
Curated Video

Deep Learning CNN Convolutional Neural Networks with Python - Edge Detection

Higher Ed
This video explains about edge detection. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
Instructional Video4:30
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - DNN Weights Initializations

Higher Ed
This video explains about weights initializations. 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...
Instructional Video4:09
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Optimizations

Higher Ed
In this video, we will cover DNN optimizations. 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 this section, we will...
Instructional Video4:02
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Implementation Gradient Step

Higher Ed
In this video, we will cover DNN implementation gradient step. 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 this...