In this section we will learn the practical skills needed to perform transfer learning in TensorFlow. More specifically, we will learn how to select layers to be loaded from a checkpoint and also how to instruct our solver to optimize only specific layers while freezing the others.
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by Leonardo Araujo, Nimesh Patel, Richard Burton, Giounona Tzanidou, Iffat Zafar
Hands-On Convolutional Neural Networks with TensorFlow
- Title Page
- Copyright and Credits
- Packt Upsell
- Contributors
- Preface
- Setup and Introduction to TensorFlow
- Deep Learning and Convolutional Neural Networks
- Image Classification in TensorFlow
- Object Detection and Segmentation
- VGG, Inception Modules, Residuals, and MobileNets
- Autoencoders, Variational Autoencoders, and Generative Adversarial Networks
- Transfer Learning
- Machine Learning Best Practices and Troubleshooting
- Training at Scale
- References
- Other Books You May Enjoy
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