Neural Networks Part 5: ArgMax and SoftMax @statquest
Neural Networks Part 5: ArgMax and SoftMax  @statquest
Uploaded February 2021 | Updated September 2026, 1 week ago
When your Neural Network has more than one output, then it is very common to train with SoftMax and, once trained, swap SoftMax out for ArgMax. This video give you all the details on these two methods so that you'll know when and why to use ArgMax or SoftMax.

NOTE: This StatQuest assumes that you already understand:
The main ideas behind Neural Networks: youtu.be/CqOfi41LfDw
How Neural Networks work with multiple inputs and outputs: youtu.be/83LYR-1IcjA

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0:00 Awesome song and introduction
2:02 ArgMax
4:21 SoftMax
6:36 SoftMax properties
9:31 SoftMax general equation
10:20 SoftMax derivatives

#StatQuest #NeuralNetworks #ArgMax #SoftMax
Neural Networks Part 5: ArgMax and SoftMaxThe matrix math behind transformer neural networks, one step at a time!!!Tensors for Neural Networks, Clearly Explained!!!False Discovery Rates, FDR, clearly explainedSequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!Matrix NotationSilly Songs, Clearly Explained!!!Design Matrices For Linear Models, Clearly Explained!!!AdaBoost, Clearly ExplainedThe SoftMax Derivative, Step-by-Step!!!Using Bootstrapping to Calculate p-values!!!Regularization Part 2: Lasso (L1) Regression
StatQuest with Josh Starmer |

Neural Networks Part 5: ArgMax and SoftMax

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