This blog tests how fast does ResNet9 (the fastest way to train a SOTA image classifier on Cifar10) run on Nvidia's Turing GPUs, including 2080 Ti and Titan RTX. We also include 1080 Ti as the baseline for comparison.
This tutorial demonstrates how to use a pre-trained model for transfer learning. The networks used in this tutorial include ResNet50, InceptionV4 and NasNet. The dataset is Stanford Dogs. Tensorflow implementation is provided.
This tutorial will walk you through the steps of building an image classification application with TensorFlow. We will also introduce you to a few building blocks for creating your own deep learning demos.
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