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Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

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Deeplearning4j Alternatives

The best Deeplearning4j alternatives based on verified products, votes, reviews and other factors.
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  1. Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

  2. TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

  3. TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

  4. Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

  5. BigDL is a distributed deep learning library for Apache Spark.

  6. Open source deep learning platform that provides a seamless path from research prototyping to...

  7. DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

  8. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy โ€“ Use numpy.

  9. Darknet is an open source neural network framework written in C and CUDA.

  10. Powerful and affordable visual recognition API

  11. spaCy is a library for advanced natural language processing in Python and Cython.

  12. An optimized HTTP server / library implementation that can be used either as a standalone server or...

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Science And Machine Learning, Data Dashboard, Machine Learning