Softmax & Multi-Class Probabilities
This lesson is part of the course
In this lesson
You turn the network's raw scores for six Lumora support tickets into probabilities over three classes, pick the predicted class and score it with categorical cross-entropy.
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Lessons in this course
- A Single Neuron: Weighted Sum + Bias Locked
- Activation Functions: Step, Sigmoid, tanh & ReLU Locked
- Forward Pass of a 2-2-1 Network Locked
- Loss Functions: MSE vs Cross-Entropy Locked
- Backpropagation: One Training Step by Hand Locked
- Learning Rate: Five Steps, Three Speeds Locked
- Softmax & Multi-Class Probabilities Locked
- Overfitting: Train vs Test Error & Early Stopping Locked