Accuracy for every epoch is starting with 0 instead of 1-CodePudding

How to plot graph in Keras stating from 1 instead of 0. I have trained a model for 20 epochs and the graph is showing epoch x-axis from 0 to 19.

Code :

  hist = model.fit(train_generator, validation_data=val_generator,  epochs=20, 
  batch_size=batchsize)

  plt.figure(figsize=(8,8))
  plt.subplot(2,1,1)

  plt.plot(hist.history['accuracy'],marker='o')
  plt.plot(hist.history['val_accuracy'],marker='p')
  plt.axis(ymin=0.0,ymax=1)
  plt.grid()
  plt.title('VGG16 Model Accuracy')
  plt.ylabel('Accuracy')
  plt.xlabel('Epochs')
  plt.legend(['Training Accuracy', 'Validation Accuracy'])
  plt.show()

How this problem could be resolved?

CodePudding user response：

I've created the graph using only the train accuracies. But you can obtain the same adding also your validation accuracies:

import matplotlib.pyplot as plt
import numpy as np

# acc_history is the same as your hist.history['accuracy']
acc_history = [0.9002329707145691, 0.9219149351119995, 0.9280775785446167, 0.9322110414505005, 0.9352172017097473, 0.937546968460083, 0.9384863972663879, 0.9416428804397583, 0.9418307542800903, 0.9441981315612793, 0.9461145401000977, 0.9464902877807617, 0.9477679133415222, 0.9504734873771667, 0.9524274468421936, 0.954456627368927, 0.9550578594207764, 0.9591537714004517, 0.9588531255722046, 0.9635878801345825, 0.9638884663581848, 0.9652412533760071, 0.9674583077430725, 0.9688861966133118, 0.9716669321060181]

plt.figure(figsize=(8,8))
plt.subplot(2,1,1)

plt.plot(acc_history, marker='o')
# change the values on the ticks, starting from 1
plt.xticks(np.arange(len(acc_history)), np.arange(1, len(acc_history) 1))

plt.axis(ymin=0.0, ymax=1)
plt.grid()
plt.title('VGG16 Model Accuracy')
plt.ylabel('Accuracy')
plt.xlabel('Epochs')
plt.legend(['Training Accuracy'])
plt.show()

Basically xticks lets you specify the labels that you want on your x axis.

The output graph is: