Course Wiki
Explore more — Machine Learning Zoomcamp Module 8
- Add more data, e.g, Zalando etc - Albumentations - another way of generating augmentations - Use PyTorch or MXNet instead of TensorFlow/Keras - In addition to Xception, there are others architectures - try them
Related Pages
Machine Learning Zoomcamp › Module 8: Neural Networks and Deep Learning › Explore more
Notes
Explore more
TODO
- Add more data, e.g, Zalando etc
- Albumentations - another way of generating augmentations
- Use PyTorch or MXNet instead of TensorFlow/Keras
- In addition to Xception, there are others architectures - try them
Other projects:
- cats vs dogs
- Hotdog vs not hotdog
- Category of images
Key concepts
Related notes
- mlz-m01-setting-up-the-environment
- mlz-m08-adding-more-layers
- mlz-m08-adjusting-the-learning-rate
- mlz-m08-checkpointing
- mlz-m08-convolutional-neural-networks
- mlz-m08-data-augmentation
- mlz-m08-fashion-classification
- mlz-m08-installation-of-tensorflow
- mlz-m08-pre-trained-convolutional-neural-networks
- mlz-m08-regularization-and-dropout
- mlz-m08-summary
- mlz-m08-tensorflow-and-keras
- mlz-m08-training-a-larger-model
- mlz-m08-transfer-learning
- mlz-m08-using-the-model
- mlz-m09-explore-more
- mlz-m09-introduction-to-serverless
- mlz-m09-python-3-12-vs-tf-lite-2-17
- mlz-m09-tensorflow-lite
- mlz-m10-creating-a-pre-processing-service
- mlz-m10-deploying-tensorflow-models-to-kubernetes
- mlz-m10-overview
- mlz-m10-tensorflow-serving