Instructional Video8:12
Curated Video

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

Higher Ed
In this video, we will cover gradient descent. 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 Video9:03
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 2

Higher Ed
In this video, we will cover language modelling next word prediction Python 2. 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...
Instructional Video6:07
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients

Higher Ed
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...
Instructional Video5:58
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule in Action

Higher Ed
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...
Instructional Video7:29
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule

Higher Ed
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...
Instructional Video10:29
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Why Derivatives

Higher Ed
In this video, we will understand why derivatives. 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,...
Instructional Video12:21
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 4

Higher Ed
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...
Instructional Video9:08
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 3

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 3. 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...
Instructional Video4:37
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 2

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 2. 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...
Instructional Video8:20
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Gradients of Convolutional Layer

Higher Ed
In this video, we will cover gradients of convolutional layer. 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...
Instructional Video7:52
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: Introduction Vanishing Gradients in RNN

Higher Ed
In this video, we will cover vanishing gradients in RNN. 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,...
Instructional Video7:20
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: RNN Setup 1

Higher Ed
In this video, we will cover RNN setup 1. 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...
Instructional Video23:18
Curated Video

Water and Diffusion - The Chemistry of Life

Higher Ed
In this section, I talk about the properties of water, and what makes it unique. I talk about hydrogen bonds that result from the polar nature of water and why ice floats. I also deal with diffusion and go into the 3 factors that affect...
Instructional Video9:00
Journey to the Microcosmos

How Did Multicellularity Evolve

9th - Higher Ed
How Did Multicellularity Evolve
Instructional Video4:14
Curated Video

GCSE Secondary Maths Age 13-17 - Geometry & Measures: Equation of a straight line - 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 Video5:56
Curated Video

GCSE Secondary Maths Age 13-17 - Geometry & Measures: Parallel Lines - 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 Video15:04
Curated Video

Graphing Exponential Functions: Understanding the Gradient Function

Higher Ed
The video is a lecture on exponential functions, specifically focusing on the gradient function of A to the power of X. It covers topics such as exponential growth and decay, X-axis asymptotes, and the relationship between A and the...
Instructional Video4:12
FuseSchool

Drawing Quadratic Graphs

6th - Higher Ed
Learn how to plot quadratic curves, using a table of values. Quadratic curves are either a U shape, if they are positive quadratics, or upside down U if they are a negative quadratic. To plot them onto a graph, substitute in x-values...
Instructional Video9:26
Curated Video

Cellular Respiration: How Do Cells Get Energy?

Pre-K - Higher Ed
Cellular respiration is the process through which the cell generates energy, in the form of ATP, using food and oxygen. The is a multistep biochemical process where food, primarily the carbohydrate glucose, is broken down to produce...
Instructional Video4:53
Curated Video

Understanding Stationary Points through Second Derivative

Higher Ed
The video is a presentation on stationary points, specifically using the second derivative. The presenter summarizes a previous lecture on finding maximum and minimum points and looking at the gradient function. They then introduce an...
Instructional Video11:47
Curated Video

Sketch and Factorize Cubic Functions

Higher Ed
The video is a lecture presentation on sketching and factorizing cubic functions. The speaker explains the general shape of a cubic function and key trends to know such as three roots, two roots, and one root. The speaker also...
Instructional Video3:57
Curated Video

GCSE Secondary Maths Age 13-17 - Graphs: Coordinate Geometry - 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 Video5:56
Curated Video

GCSE Secondary Maths Age 13-17 - Graphs: Equations - 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...