Pbs Learning Media: Crash Course Artificial Intelligence: Training Neural Networks #4

Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of these networks work and how using many...

We're going to code a program that takes a one word prompt and then completes the sentence that sounds like something John Green would say. We're going to collect transcription files from Vlogbrothers episodes, do some preprocessing,...

John Green Bot wrote his first novel! We're going to program a neural network to recognize handwritten letters to convert the first part of John Green Bot's novel into typed text. Follow along with this Google Drive document: Neural...

Our game is called TrashBlaster, and it's like Asteroids but with trash in the ocean, and instead of a spaceship John Green Bot is wielding a laser. We'll use machine learning techniques such as an evolutionary neural network alongside a...

One of the best test spaces for building new AI systems are games. This is because games provide a great framework for an AI to learn an objective and slowly improve. We're going to walk you through creating a Tic Tac Toe bot that uses...

We're moving on from artificial intelligence that needs training labels, called Supervised Learning, to Unsupervised Learning which is learning by finding patterns in the world. We'll focus on the performing unsupervised clustering,...

Artificial intelligence is everywhere and it's already making a huge impact on our lives. It's autocompleting texts on our cellphones, telling us which videos to watch on YouTube, beating us at video games, recognizing us in photos,...

We're going to talk about Natural Language Processing, or NLP, show you some strategies computers can use to better understand language like distributional semantics, and then we'll introduce you to a type of neural network called a...

Jabril tries to make an AI to once and for all settle the question, "Will a cat or a dog make us happier?" But in building this AI, Jabril will accidentally incorporate the very bias he was trying to avoid. So today we'll talk about how...

Reinforcement learning is useful in situations where we want to train AIs to have certain skills we don't fully understand. We're going to explore these ideas, introduce a ton of new terms like value, policy, agent, environment, actions,...