Gradient Descent: The Batch Update
Explore how batch gradient descent optimizes weights and bias in perceptron models. Understand forward propagation, error computation, gradient calculation, and parameter updates with NumPy. Gain hands-on experience with the core technique behind training linearly separable data classifiers.
Exploratory data analysis
We have two features X1 and X2 and a label. Each feature has ten data points and the label is 0 or 1. Make a decision ...