Created
April 16, 2018 10:56
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my_mlp_vs_sklearn_vs_keras.py
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plt.figure(figsize=(10, 7)) | |
plt.subplot(211) | |
plt.title("learning log (loss)") | |
plt.xlabel("epoch") | |
plt.ylabel("loss") | |
plt.plot(np.arange(len(clf.loss)), clf.loss, label="my train") | |
plt.plot(np.arange(len(clf.loss)), clf.val_loss, label="my test") | |
plt.plot(np.arange(len(history.history["loss"])), history.history["loss"], label="keras train") | |
plt.plot(np.arange(len(history.history["loss"])), history.history["val_loss"], label="keras test") | |
plt.plot(np.arange(len(clf_sk.loss_curve_)),clf_sk.loss_curve_, label="sklearn train") | |
plt.legend(loc="best") | |
plt.grid(True) | |
plt.subplot(212) | |
plt.title("learning log (accuracy)") | |
plt.xlabel("epoch") | |
plt.ylabel("accuracy") | |
plt.plot(np.arange(len(clf.loss)), clf.acc, label="my train") | |
plt.plot(np.arange(len(clf.loss)), clf.val_acc, label="my test") | |
plt.plot(np.arange(len(history.history["loss"])), history.history["acc"], label="keras train") | |
plt.plot(np.arange(len(history.history["loss"])), history.history["val_acc"], label="keras test") | |
plt.legend(loc="best") | |
plt.grid(True) | |
plt.tight_layout() | |
plt.show() |
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