Instructional Video5:28
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Solution (Alpha)

Higher Ed
This is a solution video on Alpha.
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This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and...
Instructional Video3:19
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Module - Hyper Parameters and Concepts

Higher Ed
This video provides an introduction to the module.
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This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper...
Instructional Video4:09
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Exercise Solution

Higher Ed
This is an exercise solution video on gradient descent.
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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...
Instructional Video5:53
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent

Higher Ed
This video demonstrates about gradient descent.
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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...
Instructional Video1:15
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Quiz (Alpha)

Higher Ed
This is a quiz video on Alpha.<br<br/>/>

This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and concepts.
Instructional Video10:38
Curated Video

PEP8 Guidelines Python Clean Coding - PEP 8 Imports and Dunder Names

Higher Ed
This video explains PEP 8 imports and dunder names.<br<br/>/>

This clip is from the chapter "PEP 8 Code Layout" of the series "PEP8 Guidelines: Python Clean Coding".This section explains the PEP8 code layout.
Instructional Video6:26
Packt

Fundamentals of Neural Networks - Forward Propagation

Higher Ed
This video explains forward propagation and will dive deeper into the architecture of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Instructional Video12:47
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization: Histograms Kdeplot

Higher Ed
In this video, we will cover histograms Kdeplot.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video8:16
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Histograms

Higher Ed
In this video, we will cover Matplotlib histograms.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video8:36
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib 3D Surface Plots

Higher Ed
In this video, we will cover Matplotlib 3D surface plots.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory...
Instructional Video14:11
Catalyst University

Serine Racemase: Mechanism and Inuition

Higher Ed
Serine Racemase: Mechanism and Inuition
Instructional Video11:16
Packt

Fundamentals of Neural Networks - Purpose of Neural Networks

Higher Ed
This video explains the purpose of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where you will learn every...
Instructional Video15:01
Curated Video

Fundamentals of Machine Learning - Sampling and Bootstrap

Higher Ed
This video explains the two most famous and common procedures—cross-validation and Bootstrap.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Instructional Video5:59
Curated Video

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

Higher Ed
In this video, we will cover DNN gradient descent.
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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 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.
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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 Video1:07
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Infinite Memory Architecture Exercise

Higher Ed
In this video, we will cover infinite memory architecture exercise.
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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 Video3:55
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise Solution Part 02

Higher Ed
In this video, we will cover fixed length memory model exercise solution part 02.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory...
Instructional Video19:42
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 5

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 5.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video6:34
Curated Video

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

Higher Ed
In this video, we will cover attention model optional.
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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...
Instructional Video14:52
Curated Video

Selenium WebDriver with Java - Basics to Advanced and Frameworks - Understanding the Extensible Markup Language (XML) File to Control Logging in Test Case

Higher Ed
This video explains how the XML file can be used to control logging in test case.
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This clip is from the chapter "Framework Part 7: Logging Framework - log4j" of the series "Selenium WebDriver with Java - Basics to Advanced...
Instructional Video2:46
Curated Video

Selenium WebDriver with Java - Basics to Advanced and Frameworks - Important Note

Higher Ed
This video presents an important note.
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This clip is from the chapter "Selenium 4.0 - Latest Features" of the series "Selenium WebDriver with Java - Basics to Advanced and Frameworks".This section discusses the latest...
Instructional Video13:28
Virtually Passed

Relative Motion with rotating reference axes Example (part 2)

Higher Ed
To solve for the acceleration of a point A moving relative to an object that is rotating then we can use the relative velocity (for rotating reference frames) equation:<b<br/>r/>

Aa = Ab + Arel + Ap/b + 2 w x Vrel
Instructional Video3:27
Let's Tute

English Grammar Basics: Alphabets, Sounds, and Fun Facts

9th - Higher Ed
This video is an introductory session on English grammar that covers interesting facts about English alphabets, including their formation and categorization into vowels and consonants. It also introduces the concept of pangrams and...
Instructional Video10:43
Catalyst University

Carbohydrate Structure Pyranose (Glucose) Stability

Higher Ed
Carbohydrate Structure Pyranose (Glucose) Stability