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ENorm vs Keras: What are the differences?
ENorm: Equi-normalization of Neural Networks (by Facebook). A fast and iterative method for minimizing the L2 norm of the weights of a given neural network that provably converges to a unique solution; Keras: Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.
ENorm and Keras can be primarily classified as "Machine Learning" tools.
ENorm and Keras are both open source tools. It seems that Keras with 42.5K GitHub stars and 16.2K forks on GitHub has more adoption than ENorm with 104 GitHub stars and 8 GitHub forks.
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Learn MorePros of ENorm
Pros of Keras
Pros of ENorm
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Pros of Keras
- Quality Documentation8
- Supports Tensorflow and Theano backends7
- Easy and fast NN prototyping7
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Cons of ENorm
Cons of Keras
Cons of ENorm
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Cons of Keras
- Hard to debug4
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- No public GitHub repository available -
What is ENorm?
A fast and iterative method for minimizing the L2 norm of the weights of a given neural network that provably converges to a unique solution.
What is Keras?
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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What companies use ENorm?
What companies use Keras?
What companies use ENorm?
What companies use Keras?
See which teams inside your own company are using ENorm or Keras.
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What tools integrate with ENorm?
What tools integrate with Keras?
What tools integrate with ENorm?
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What are some alternatives to ENorm and Keras?
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