Skip to content

Keras

Performance comparison of PyTorch and Keras3 with TF2 and Torch backends for a small NN-model on a Nvidia 4060 TI – II – Keras with Torch backend

Not all tasks in Machine Learning [ML] require big LLMs or LLM-based interfaces. Actually, many interesting ML-tasks can be solved with neural networks [NNs] that fit well into the VRAM of a modern GPU or TPU affordable even for private persons. This statements holds in particular for image processing. We have groups of people either learning to work with ML… Read More »Performance comparison of PyTorch and Keras3 with TF2 and Torch backends for a small NN-model on a Nvidia 4060 TI – II – Keras with Torch backend

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