<ul><li>Our simple neural network addresses a binary classification problem.</li><li>The architecture comprises three main components: activation functions, forward propagation, and backward propagation.</li><li>Training the network involves initializing parameters, performing forward and backward propagation, and updating the weights and biases.</li><li>The network can make predictions after training, and visualization helps in understanding the learning progress.</li></ul>

Building a Neural Network from Scratch Using Only NumPy

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