I am following the tutorial on pix2pix pix2pix: tradução de imagem para imagem com um GAN condicional | TensorFlow Core
and have trouble generating new images after trainingfrom checkpoint restore…so I thought that saving a model as h5 could be a solution. I found the method tf.keras.callbacks.ModelCheckpoint, however, I read, it can only work in conjunction with model.fit(). and this example utilizes custom solutions. Can anyone advise how to combine those custom and prebuilt functions together? Any useful tutorials or examples?