摘要：
···python plt.title("Model with Adam optimization") axes = plt.gca() axes.set_xlim([-1.5,2.5]) axes.set_ylim([-1,1.5]) plot_decision_boundary(lambda x 阅读全文
摘要：
1. Optimization Methods Gradient descent goes "downhill" on a cost function \(J\). Think of it as trying to do this: **Figure 1** : **Minimizing the c 阅读全文