This video on “What is Deep Learning” provides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.
This Neural Network Combines Motion Capture and Physics
Neural network training for animation.
AI vs ML vs DL vs Data Science
Artificial Intelligence is the branch of computer science that deal with writing computer programs that can solve problems creatively
Machine learning is a subset of AI that provides statistical tools to explore the data.
The three primary types of Machine learning are:
1) Supervised machine learning (past labeled data)
2) Unsupervised machine learning (solve clustering problems)
3) and semi-supervised machine learning (aka reinforcement; combination of previous)
Deep learning is multi neural network archictecture. The idea is to mimic the human brain.
Data Science uses these tools and more, such as math and statistics, to learn.
How Far is Too Far? | The Age of A.I. (S1, E1)
Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go? Narrated by Robert Downey Jr.
In the Age of AI (full film) | FRONTLINE
A documentary exploring how artificial intelligence is changing life as we know it — from jobs to privacy to a growing rivalry between the U.S. and China. FRONTLINE investigates the promise and perils of AI and automation, tracing a new industrial revolution that will reshape and disrupt our world, and allow the emergence of a surveillance society.
Anyone Can Build With Artificial Intelligence
Artificial Intelligence is often portrayed as a super-complicated, abstract concept that should be left to Silicon Valley to deal with. This is not the case; rather, it is a tool for the public good, a tool that everyone can put to use! Whether to make a self-playing game or to solve societal problems, you can build with AI. It’s not as scary as it looks. Beckett Hyde is a Colorado High School Junior who is passionate about everything related to computer science and artificial intelligence (AI). In his spare time, he builds AI driven programs and algorithms and occasionally codes an app or two. He’s especially interested in applying AI to finance and global markets, youth mental health and anxiety/depression, and online commerce. The message Beckett wants to spread is that AI is not something out of reach. Anyone, not just engineers at the big tech giants, can build with AI. All you need is a computer, some coding knowledge, and patience, and you too can do amazing things with this wonderfully powerful technology.
The Beauty of Deep Neural Networks
A broad overview of artificial neural networks across the last 80 years.
The Rise of Neural Networks
In 1986 the World of Neural Networks was about to change. After decades of silence, finally, a method to efficiently compute the weights in multi-layer Neural Networks was invented. The stage was set for a revolution.
AI Learns To Compute Game Physics In Microseconds
The use of faster neural network physics engine processes.
Intro to Machine Learning (ML Zero to Hero, part 1)
Machine Learning represents a new paradigm in programming, where instead of programming explicit rules in a language such as Java or C++, you build a system which is trained on data to infer the rules itself. But what does ML actually look like? In part one of Machine Learning Zero to Hero, AI Advocate Laurence Moroney walks through a basic “Hello World” example of building an ML model, introducing ideas which we’ll apply in later episodes to a more interesting problem: computer vision.