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Keras 3

Performance of PyTorch vs. Keras 3 with tensorflow/torch backends for a small NN-model on a Nvidia 4060 TI – I – Torch vs. Keras3/TF2 and relevant parameters

Today’s world of Machine Learning is characterized by competing frameworks. I am used to the combination of Keras with the Tensorflow2 [TF2] backend, but have turned now to using PyTorch in addition. As a beginner with PyTorch, I wanted to get an impression about potential performance advantages in comparison with the Keras/TF2 framework combination. I had read about significant performance… Read More »Performance of PyTorch vs. Keras 3 with tensorflow/torch backends for a small NN-model on a Nvidia 4060 TI – I – Torch vs. Keras3/TF2 and relevant parameters

TF 2.16, Keras 3, alternatives for deprecated ImageDataGenerator

These days I started again to work with ResNets and images. To improve accuracy e.g. for classification projects the test on evaluation datasets is the only thing that counts regarding accuracy. One should use some form of data augmentation, best statistically during training, to prevent overfitting of a model. In the past I have often used Keras’ ImageDataGenerator. ImageDatagenerator is… Read More »TF 2.16, Keras 3, alternatives for deprecated ImageDataGenerator