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\nTraining Neural Networks\n

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\n\nPublisher:\n\nCrash Course\n\n\n
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\nToday 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...\nToday 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. \n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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12:08
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Grade
12th - Higher Ed
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Subjects
STEM
3 more...
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Media Type
Instructional Videos
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Source:
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\nCrash Course Artificial Intelligence\n\n
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Date
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2019
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Additional Materials

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Concepts

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neurons, data, john green, artificial intelligence, computer science
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Additional Tags

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data points, robot, loss function, solve problems, random line, neural network, line, called, training, valley, lowest valley, training data, output, optimization, network, finding, answer, machine learning, networks, ai, simple, swimming pool, deepest valley, output neuron, neurons weights, local optimal solutions, lowest point, step, back propagation, back, crash course, backpropagation, small
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Classroom Considerations

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Best For: Explaining a topic
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Educator Ratings

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Training Neural Networks\" href=\"/subscription/new\">\"Training\n\n
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