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.
The Lambda Deep Learning Blog
Subscribe
Categories
- gpu-cloud (26)
- tutorials (24)
- benchmarks (22)
- announcements (20)
- NVIDIA H100 (13)
- lambda cloud (13)
- hardware (12)
- tensorflow (9)
- NVIDIA A100 (8)
- gpus (8)
- company (7)
- LLMs (6)
- deep learning (6)
- gpu clusters (6)
- hyperplane (6)
- news (6)
- training (6)
- CNNs (4)
- generative networks (4)
- presentation (4)
- research (4)
- rtx a6000 (4)