Fig. 3: Optimization of CNN model. | npj Computational Materials

Fig. 3: Optimization of CNN model.

From: Composition and state prediction of lithium-ion cathode via convolutional neural network trained on scanning electron microscopy images

Fig. 3

a, b Training and validation accuracy varying the size of images. c test accuracy varying training image size and 224 × 224 pixel case is selected because the model is aiming for the ImageNet dataset, which has 224 × 224 sized images. d examples of cropped training images with scale bar length of 20 µm, and e, f training and validation accuracies as a function of epochs for different number of training images.

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