Bozeman Science
PS2A - Forces and Motion
Paul Andersen introduces forces, motion, and Newton's three laws in this video. He begins by describing forces as pushes or pulls on objects that produce motion. A lack of motion results from a balanced set of forces. A teaching...
Bozeman Science
Matter as a Particle
In this video Paul Andersen explains how matter, like light, can be treated as both a particle and a wave. Louis de Broglie proposed that matter could act as a wave and described the wavelength of matter as a function of Planck's...
Bozeman Science
Momentum
Mr. Andersen explains the concept of momentum. He also shows you how to solve simple momentum problems. He finally shows you how momentum is both conserved and relative.
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How to Calculate Momentum - Newton's 3rd Law of Motion - p=mv
Newton's 3rd Law of Motion states that for every action there is an equal and opposite reaction. The formula associated with Newton's 3rd Law is p=mv where p is momentum, m is mass and v is velocity. In this video, we will cover how to...
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Vector
A quantity that has both magnitude, or size, and direction. A Twig Science Glossary Film. Key scientific terms defined in just 60 seconds using stunning images and concise textual definitions. Twig Science Glossary Films reinforce...
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Rollercoasters
Journey through a rollercoaster ride to find out which forces are at work to create this theme-park thrill. Physics - Forces - Learning Points. Rollercoasters do not have engines. Rollercoasters use forces. Electromagnets are used along...
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Momentum
Explore the reasons why objects can keep moving on their own, and why most of them will eventually stop. Physics - Forces - Learning Points. Momentum is how we quantify a moving object. Outside forces affect momentum. Momentum is...
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Avalanches
Whether they are slow slab avalanches or hurtling powder avalanches, these powerful snow slides can be extremely destructive and it can take as little as a weak snow layer to cause them. Earth Science - Weather - Learning Points....
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Hedy Lamarr for Kids | Bedtime History
Hedy Lamarr was a remarkable figure known for her dual talents as a glamorous Hollywood actress and an innovative inventor. Born in Austria in 1914, Lamarr gained fame in the 1930s and 1940s as a film star, known for her captivating...
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Deep Learning - Artificial Neural Networks with Tensorflow - Adam Optimization (Part 2)
In this video, we will understand more about Adam optimization. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Adam Optimization (Part 1)
In this video, we will talk about Adam optimization, get introduced to Adam, and understand its basics. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Variable and Adaptive Learning Rates
In this video, we will discuss variable and adaptive learning rates. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will...
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Deep Learning - Artificial Neural Networks with Tensorflow - Momentum
In this video, you will learn about momentum. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive deeper into...
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Deep Learning - Artificial Neural Networks with Tensorflow - Stochastic Gradient Descent
In this video, you will learn about stochastic gradient descent. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Gradient Descent
In this video, we will get introduced to gradient descent. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Categorical Cross Entropy
In this video, you will learn about categorical cross entropy, which is used in multiclass classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Binary Cross Entropy
In this video, you will learn about binary cross entropy, which is the correct loss function to use for binary classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural...
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Deep Learning - Artificial Neural Networks with Tensorflow - Mean Squared Error
In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - How to Choose Hyperparameters
In this video, we will understand how to choose hyperparameters. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...
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Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Regression
In this video, we will understand regression in ANN. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover...
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Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Image Classification
In this video, we will work on image classification with the MNIST dataset. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - Code Preparation (Artificial Neural Networks)
In this video, we will work with the MNIST dataset and ANN code preparation. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - How to Represent Images
In this video, we will discuss data and understand how to represent images. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - Multiclass Classification
In this video, you will learn about multiclass classification. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...