A Single Neuron: Weighted Sum + Bias
This lesson is part of the course
In this lesson
You build one artificial neuron that decides which Lumora Coffee Club subscribers will renew, measure its accuracy and find its decision boundary.
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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