利用4层神经网络实现小猫的分类&＃xff0c;小猫训练样本是&＃xff08;209&＃xff0c;64*64*3&＃61;12288&＃xff09;,故输入节点是12288个&＃xff0c;隐藏层节点依次为20&＃xff0c;7&＃xff0c;5&＃xff0c;输出层为1。
<br>def L_layer_model_test():layers_dims &＃61; [12288, 20, 7, 5, 1]costs,parameters &＃61; L_layer_model(train_x, train_y_orig, layers_dims)accuracy , p_train&＃61; predict(train_x, train_y_orig, parameters)print(&＃39;train accuracy is {}&＃39;.format(accuracy))accuracy , p_test&＃61; predict(test_x, test_y_orig, parameters)print(&＃39;test accuracy is {}&＃39;.format(accuracy))print_mislabel_images(classa,test_x,test_y_orig,p_test)# plt.plot(costs)# plt.xlabel(&＃39;iterations&＃39;)# plt.ylabel(&＃39;costs&＃39;)# plt.title(&＃39;learning rate is 0.0075&＃39;)plt.show()<br>if __name__&＃61;&＃61;&＃39;__main__&＃39;:L_layer_model_test()</code></pre> <p> </p> <p>打印结果&＃xff1a;</p> <p><img alt=)
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