SciShow
Making Plants High-Tech With Artificial Neurons | SciShow News
Biology and technology grew closer together when scientists manufactured neurons that acted like those in a brain! And birds evolved to protect themselves in two ways: fight and flight.
Be Smart
Do You Really Have Two Brains?
Are you a left-brained person or a right-brained person? Spoiler: You're neither.
SciShow
Why Do Our Brains Have Distinct Hemispheres?
We used to think having a distinct left and right brain was something unique to humans. But brain lateralization has now been found in everything from chickens to spiders! Does this change our theories for why some brains work that way?
SciShow
Why Stimulants Help ADHD
It seems like stimulants and hyperactivity shouldn't mix, so why are they so often prescribed to treat ADHD?
TED-Ed
TED-Ed: Is marijuana bad for your brain? | Anees Bahji
In 1970, marijuana was classified as a schedule 1 drug in the United States: the strictest designation possible, meaning it was completely illegal and had no recognized medical uses. Today, marijuana's therapeutic benefits are widely...
Bozeman Science
The Muscular System
Paul Andersen explains the three types of muscle found in humans; striated, smooth and cardiac muscle. He explains how actin and myosin interact to contract the sarcomere in a muscle. The sliding filament theory explains how ATP and...
TED-Ed
TED-Ed: How fast is the speed of thought? | Seena Mathew
Your mortal enemy has captured you and hooked you up to a bizarre experiment. He's extended your nervous system with one very long neuron to a target about 70 meters away. At some point, he's going to fire an arrow. If you can then think...
Curated Video
Neurons as Cells
Everything our brain does, from controlling movement to conscious thought, is achieved by the firing of electrical signals called neurons. Biology - Being Human - Learning Points. Everything our brain does is achieved by electrical...
Curated Video
Neurons as Networks
Neurons, the brain's electrical signals, control how our bodies work. Discover how they do this and why they are implicit in learning new skills. Biology - Being Human - Learning Points. The human brain has over 100 billion neurons....
Curated Video
How We Smell
Introduction to the structure and function of the nose, and how it works in tandem with the brain. How do we tell the difference between good and bad smells, and has this ability helped humans to survive? Biology - Being Human - Learning...
Science Buddies
Understanding Thresholds in Machine Learning
Join Tracy as she explores the concept of thresholds in machine learning, focusing on their critical role in binary classification tasks. Learn how activation functions and thresholds determine the classification of data points, using a...
Science Buddies
Simple Explanation of Neural Networks
Tracy from Science Buddies guides you through the basics of neuron networks used in machine learning. Discover how neurons and layers work together to process information and make predictions, from image recognition to language...
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 - Forward Propagation in RNN
The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...
Curated Video
Fundamentals of Neural Networks - Why Use RNN
A Recurrent neural network is a type of artificial neural network commonly used in speech recognition and natural language processing. Recurrent neural networks recognize data's sequential characteristics and use patterns to predict the...
Curated Video
Fundamentals of Neural Networks - Forward Propagation
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...
Curated Video
Deep Learning - Crash Course 2023 - TensorFlow - Subclassing Methods
In this video, you will learn about subclassing in TensorFlow, which allows us to create custom layers and models. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section,...
Curated Video
Deep Learning - Crash Course 2023 - Moving from Shallow Learning to Deep Learning
In this video, we will be introduced to shallow learning. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement deep learning on common...
Curated Video
Deep Learning - Crash Course 2023 - Common Network Configuration
In this video, we will look at the common network configuration that we will be using whenever performing the common deep learning task. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series...
Curated Video
Deep Learning - Crash Course 2023 - Quick Recap on Deep Learning
In this video, we will have a quick recap on what we have learned about deep learning so far. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course 2023".In this section, we will...
Curated Video
Deep Learning - Crash Course 2023 - Challenges in Creating Deep Neural Networks from Scratch
In this video, we will discuss the challenges involved in creating deep neural networks from scratch. We will explore the common issues faced during the training process and learn how to overcome them. This clip is from the chapter...
Curated Video
Deep Learning - Crash Course 2023 - Going Deep into Neural Networks
In this video, we will take a deep dive into neural networks and explore how to find the output for a deep neural network. This clip is from the chapter "Universal Approximation Theorem" of the series "Deep Learning - Crash Course...
Curated Video
Deep Learning - Crash Course 2023 - MP Neuron Introduction
In this video, you will learn about the MP Neuron model, also called McCulloch Pitts model. This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to build...