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What is a Neural Network – Ep. 2 (Deep Learning SIMPLIFIED)

If you’ve been ignoring neural nets cuz you think they’re too hard to understand or you think you don’t need them…boy do I have a treat for you! In this video you’ll learn about neural nets without any of the math or code – just an intro to what they
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Neural Networks: Crash Course Statistics #41

Hi, I’m Adriene Hill, and Welcome back to Crash Course Statistics. In previous episodes we’ve talked about things like cars learning how to drive themselves…and apps that can recognize handwriting and turn it into printed text. A lot of these projects are done using a type of Machine Learning called
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Neural Networks and Deep Learning: Crash Course AI #3

Hi, I’m Jabril, and welcome to CrashCourse AI! In the supervised learning episode, we taught John Green-bot to learn using a perceptron, a program that imitates one neuron. But our brains make decisions with 100 billion neurons, which have trillions of connections between them! We can actually do a lot
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Explained In A Minute: Neural Networks

Imagine a Neural Network as a kind of black box, which takes one or multiple inputs like the sensors of a self-driving car, processing them into one or multiple outputs like the controls of that car. The neural network itself consists of many small units called “Neurons”. These Neurons are
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10.2: Neural Networks: Perceptron Part 1 – The Nature of Code

Hello welcome to Coding Challenge in this Coding Challenge I’m going to attempt to make a Perceptron this is part of a whole bunch of videos that I’m doing about neural-network-based learning and, but in this video I’m not kind of getting into too much about the whole broader landscape
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How Deep Neural Networks Work

Neural Networks are good for learning lots of different types of patterns. To give an example of how is it work imagine you had a four pixel camera. So not four megapixels, but just four pixels. And it was only black and white. And you wanted to go around and
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