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Keras

Short ResNet training on CIFAR10 over 21 epochs

AdamW for a ResNet56v2 – V – weight decay and cosine shaped schedule of the learning rate

In this post series we try to find methods to reduce the number of epochs for the training of ResNets on image datasets. Our test case is CIFAR10. In this post we will test a modified cosine shaped schedule for a systematic and fast reduction of the learning rate LR. This supplements the approaches described in previous posts of this… Read More »AdamW for a ResNet56v2 – V – weight decay and cosine shaped schedule of the learning rate

Installation of CUDA 12.3 and CuDNN 8.9 on Opensuse Leap 15.5 for Machine Learning

Machine Learning on a Linux system is no fun without a GPU and its parallel processing capabilities. On a system with a Nvidia card you need basic Nvidia drivers and additional libraries for optimal support of Deep Neural Networks and Linear Algebra operations on the GPU sub-processors. E.g., Keras and Tensorflow 2 [TF2] use CUDA and cuDNN-libraries on your Nvidia… Read More »Installation of CUDA 12.3 and CuDNN 8.9 on Opensuse Leap 15.5 for Machine Learning