Crash Course Artificial Intelligence - Season 1 Episode 4 Training Neural Networks
Today we’re going to talk about how neurons in a neural network learn by getting their math adjusted, called backpropagation, and how we can optimize networks by finding the best combinations of weights to minimize error. Then we’ll send John Green Bot into the metaphorical jungle to find where this error is the smallest, known as the global optimal solution, compared to just where it is relatively small, called local optimal solutions, and we'll discuss some strategies we can use to help neural networks find these optimized solutions more quickly.
Year: 2019
Genre:
Country:
Studio:
Director:
Cast: Jabril Ashe
Crew: John Green (Executive Producer), Hank Green (Executive Producer)
First Air Date: Aug 09, 2019
Last Air date: Dec 27, 2019
Season: 1 Season
Episode: 20 Episode
Runtime: 26 minutes
IMDb: 0.00/10 by 0.00 users
Popularity: 0.346
Language: English
Keyword :
Episode
What Is Artificial Intelligence?
Supervised Learning
Neural Networks and Deep Learning
Training Neural Networks
How to make an AI read your handwriting (LAB)
Unsupervised Learning
Natural Language Processing
Make an AI sound like a YouTuber (LAB)
Reinforcement Learning
Symbolic AI
Robotics
AI Playing Games
Let's make an AI that destroys video games
Humans and AI working together
How YouTube knows what you should watch
Let’s make a movie recommendation system
Web Search
Algorithmic Bias and Fairness
Cats Vs Dogs? Let's make an AI to settle this
The Future of Artificial Intelligence