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MNIST

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

Examples images from the FashionMnist dataset

PyTorch / datasets / dataloader / data transfer to GPU – I – properties of some torchvision datasets

For an old fan of Tensorflow2 it is somewhat satisfactory to notice that some problems also exist in analogous form in a PyTorch environment. Anyone who has worked with visual data knows that one needs to modify, augment and transform the image data and then load them from some storage under CPU control to the GPU’s VRAM before or during… Read More »PyTorch / datasets / dataloader / data transfer to GPU – I – properties of some torchvision datasets