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Neural Networks Pt. 4: Multiple Inputs and Outputs
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So far, this series has explained how very simple Neural Networks, with only 1 input and 1 output, function. This video shows how these exact same concepts generalize to multiple inputs and outputs and provides a context within we can discuss SoftMax and ArgMax for modifying the output data.
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0:00 Awesome song and introduction
2:07 Multiple inputs and outputs
3:57 The blue bent surface for Setosa
6:28 The orange bent surface for Setosa
6:52 The green crinkled surface for Setosa
8:42 Predicting Setosa
9:42 Versicolor
11:11 Virginica
#StatQuest #NeuralNetworks
NOTE: This StatQuest assumes you already know...
For a complete index of all the StatQuest videos, check out:
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
...or...
...a cool StatQuest t-shirt or sweatshirt:
...buying one or two of my songs (or go large and get a whole album!)
...or just donating to StatQuest!
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
0:00 Awesome song and introduction
2:07 Multiple inputs and outputs
3:57 The blue bent surface for Setosa
6:28 The orange bent surface for Setosa
6:52 The green crinkled surface for Setosa
8:42 Predicting Setosa
9:42 Versicolor
11:11 Virginica
#StatQuest #NeuralNetworks
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