PBS
Does Time Cause Gravity?
We know that gravity must cause clocks to run slow on the basis of logical consistency. And we know that gravity DOES cause clocks to run slow based on many brilliant experiments. But I never explained WHY or HOW gravity causes the flow...
3Blue1Brown
Gradient descent, how neural networks learn | Deep learning, chapter 2
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
3Blue1Brown
Gradient descent, how neural networks learn: Deep learning - Part 2 of 4
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
3Blue1Brown
Gradient descent, how neural networks learn | Chapter 2, deep learning
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
Amoeba Sisters
Sodium Potassium Pump
Explore the sodium potassium pump (Na+/K+ pump), with the Amoeba Sisters! This video talks about why this pump is needed and provides an overview of this type of active transport. Table of Contents: 00:00 Intro 0:48 Introducing the...
Bozeman Science
The Action Potential
In this video Paul Andersen details the action potential in neurons. The resting potential of a neuron (-70mV) is maintained through differences in concentration and permeability of Na, K, and Cl ions. A graded potential is created as...
Bozeman Science
Equipotential Lines
In this video Paul Andersen explains how equipotential lines show equal electric potential in an electric field. Equipotential lines can be created from scalar values or by observing the electric field lines. An charged object can move...
Bozeman Science
Osmoregulation
Paul Andersen explains how organisms regulate their internal osmolarity or not. He starts with a brief description of osmosis and why it is important for animal cell to be surrounded by an isotonic solution. He then explains how...
Curated Video
Active transport
The use of energy to move particles across a cell membrane from a lower concentration to a higher concentration. A Twig Science Glossary Film. Key scientific terms defined in just 60 seconds using stunning images and concise textual...
Curated Video
Gradients: Fold Mountains
Discover how the steep gradients of fold mountains are created from parallel flats, as angles build by degrees. Maths - Space A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s math films show abstract...
Curated Video
MRI
MRI machines are now commonly used in hospitals to build amazing images of inside our bodies. Discover how magnets allow them to do this. Physics - Electricity And Circuits - Learning Points. MRI machines use magnets to take images of...
Curated Video
Calculus: Newton
Newton's development of calculus, and how this changed the way we describe the world. Maths - History Of Maths A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s context films show abstract concepts in...
Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - GRU and LSTM (Part 1)
In this video, you will learn about modern RNN units called GRU. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks with...
Curated Video
Fundamentals of Neural Networks - Backward Propagation Through Time
Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train Elman networks. The algorithm was independently derived by numerous researchers. This clip...
Curated Video
Fundamentals of Neural Networks - Gradient Descent
This video explains the optimization problem using the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...
Curated Video
Fundamentals of Neural Networks - Backward Propagation
This video explains backward propagation, which is defined by the optimization problem called the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Curated Video
Deep Learning - Crash Course 2023 - Program in Python
In this video, we will build a program in Python to implement Sigmoid Neuron. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.
Curated Video
Deep Learning - Crash Course 2023 - Program Overview
In this video, we will discuss our program goal that we will be building in the next video. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with...
Curated Video
Blender to Unreal Engine - Become a Dungeon Prop Artist - Direct and Infinite Light Sources
In this lesson, you will learn how to make use of light sources to light up your assets better.
Curated Video
Blender to Unreal Engine - Become a Dungeon Prop Artist - Setting Up Presentation
This lesson will walk us through the steps of setting up our assets to be presentable in Unreal Engine 5. We will make use of height fog to create a nice gradient within the background of our scene.
Curated Video
Blender to Unreal Engine - Become a Dungeon Prop Artist - Creating a Water Material
With this lesson, we will be starting work on creating a water material. We will be using our texture maps and opacity along with the gamma node in Blender.
Curated Video
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...
Curated Video
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...
Curated Video
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...