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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 Applications is the applications module of the Keras deep learning library. It provides model definitions and pre-trained weights for a number of popular archictures, such as VGG16, ResNet50, Xception, MobileNet, and more.
Package | Summary | Distribution | Download |
python-keras-applications-1.0.8-2.noarch.html | Applications module of the Keras deep learning library | OpenMandriva 5.0 for x86_64 | python-keras-applications-1.0.8-2.noarch.rpm |
python-keras-applications-1.0.8-2.noarch.html | Applications module of the Keras deep learning library | OpenMandriva 5.0 for aarch64 | python-keras-applications-1.0.8-2.noarch.rpm |
python-keras-applications-1.0.8-2.noarch.html | Applications module of the Keras deep learning library | OpenMandriva Cooker for x86_64 | python-keras-applications-1.0.8-2.noarch.rpm |
python-keras-applications-1.0.8-2.noarch.html | Applications module of the Keras deep learning library | OpenMandriva Cooker for aarch64 | python-keras-applications-1.0.8-2.noarch.rpm |
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