vcubingx provides a visual introduction to the structure of an artificial neural network.

The Neural Network, A Visual Introduction | Visualizing Deep Learning, Chapter 1

  • 0:00 Intro
  • 1:55 One input Perceptron
  • 3:30 Two input Perceptron
  • 4:40 Three input Perceptron
  • 5:17 Activation Functions
  • 6:58 Neural Network
  • 9:45 Visualizing 2-2-2 Network
  • 10:59 Visualizing 2-3-2 Network
  • 12:33 Classification
  • 13:05 Outro

Yoshua Bengio, Geoffrey Hinton, and Yann LeCun may not be household names, but their work definitely is. In fact, you’ve interacted with the descendants their research today (or last few minutes).

From the facial recognition system that unlocked your phone to the AI language model that suggested what to write in your last email, the impact of their work is everywhere, earning them the titles  of “Godfathers of AI.” Everytime I hear that term this is the image that pops into my mind.

Recently, the trio has received the Turing Award, which is a kind of Nobel Prize for Computer Science.

So, if they ever call you and ask for a favor, you better do it, unless you want to wake up to a decapitated MacBook laying in your bed.

Yoshua Bengio, Geoffrey Hinton, and Yann LeCun — sometimes called the ‘godfathers of AI’ — have been recognized with the $1 million annual prize for their work developing the AI subfield of deep learning. The techniques the trio developed in the 1990s and 2000s enabled huge breakthroughs in tasks like computer vision and speech recognition. Their work underpins the current proliferation of AI technologies, from self-driving cars to automated medical diagnoses.