Neural, Network, Class, Python.
nn.train(input_data, target_data, learning_rate=0.1, epochs=10000) # Make predictions for i in range(input_data.shape[1]): input_sample = input_data[:, i].reshape(-1, 1) print(f"Input: {input_sample.ravel()} | Predicted Output: {nn.feedforward(input_sample).ravel()}") In this example, we create a