Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights
In this video, you will learn how to update weights. 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 into deep learning.
Virtually Passed
Position Velocity and Acceleration example 1
The equations which relate position, velocity and acceleration in 1 dimension are: dx/dt = v dv/dt = a
Global Ethics Solutions
The Courageous Leader (Part 2): Being Courageous
This is the second of a five-part course on moral leadership. Being courageous requires that you discern and assess what needs to be done and have the fortitude to be able to deal with the consequences based on the foundation of those...
Red Rock Films
Women's History Activator: Florence Nightingale
Florence Nightingale, the founder of modern nursing
The March of Time
Civil Police checking passes
MOT 1944: ITALY: CIVIL POLICE: WS Italian Civil Police under archway pedestrians. MS Police w/ armband. WS Italians & guards ruined buildings BG. VS Guards checking passes. WWII
Australian Children's Television Foundation
Bushwhacked! - Series 1 - Episode 9 (Grey Nurse Shark)
Brandon challenges Kayne to swim with Grey Nurse Sharks and to take an underwater photograph in case one day they are gone for good.
Curated Video
Agile Scrum Master Certification Exam Prep (CSM) - Respect
You will learn about the last value of Scrum, which is respect, and it plays a vital role in the level of maturity among the scrum team members. This clip is from the chapter "Scrum Values" of the series "Agile Scrum Master Certification...
Flipping Physics
Charged Rod Electric Field
In this video, we will determine the electric field at point P, which is located a distance "a" to the left of a thin rod with a positive charge Q, uniform charge density λ, and length L. We will use Coulomb's law and an integral to...
Seven Dimensions
Creating Workforce Agility
Carol's idea of workforce agility is to get Dion to do the research that doesnt interest her. She is therefore very surprised when he delivers an impromptu presentation on workforce agility that leaves her and Marcus impressed. Even...
Curated Video
Java Programming for Complete Beginners - Java 16 - Step 00 - Java Loops - Section Introduction
In this video, we will learn about Java loops - section introduction. This clip is from the chapter "Loops" of the series "Java Programming for Complete Beginners - Java 16".In this section, we will explain about loops - for loop, while...
Curated Video
Agile Project Management - How Respect Helps You Deliver on Time
This video explains how respect helps you to deliver on time. This clip is from the chapter "Pro Tips for Meeting Project Deadline with Agile Project Management" of the series "Agile Project Management".This section explains pro tips for...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Image Classification Revisited
This video focuses on image classification revisited. This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).
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
Data Science and Machine Learning (Theory and Projects) A to Z - Yolo: Yolo Training Data Generation
In this video, we will cover Yolo training data generation. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Yolo: Image Classification Revisited
In this video, we will cover image classification revisited. 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...
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 - 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
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Closure of a Set
In this video, we will cover closure of a set. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction 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 - Introduction to Machine Learning: Machine Learning Model Training Exercise Solution
In this video, we will cover machine learning model training 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)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity
In this video, we will cover machine learning model linearity. 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...