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Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result as fast as possible is key to doing good research. Keras is: - Simple -- but not simplistic. Keras reduces developer cognitive load to free you to focus on the parts of the problem that really matter. - Flexible -- Keras adopts the principle of progressive disclosure of complexity: simple workflows should be quick and easy, while arbitrarily advanced workflows should be possible via a clear path that builds upon what you've already learned. - Powerful -- Keras provides industry-strength performance and scalability: it is used by organizations and companies including NASA, YouTube, or Waymo. Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library. It provides utilities for working with image data, text data, and sequence data.
| Package | Summary | Distribution | Download |
| python-keras-preprocessing-1.1.2-2.noarch.html | Data preprocessing and data augmentation module for Keras | OpenMandriva Cooker for x86_64 | python-keras-preprocessing-1.1.2-2.noarch.rpm |
| python-keras-preprocessing-1.1.2-2.noarch.html | Data preprocessing and data augmentation module for Keras | OpenMandriva Cooker for aarch64 | python-keras-preprocessing-1.1.2-2.noarch.rpm |
| python-keras-preprocessing-1.1.2-2.noarch.html | Data preprocessing and data augmentation module for Keras | OpenMandriva 5.0 for x86_64 | python-keras-preprocessing-1.1.2-2.noarch.rpm |
| python-keras-preprocessing-1.1.2-2.noarch.html | Data preprocessing and data augmentation module for Keras | OpenMandriva 5.0 for aarch64 | python-keras-preprocessing-1.1.2-2.noarch.rpm |
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