Keras vs NGC

Starting Price

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Best For

Deep learning solution for any individual interested in machine learning with features such as modularity, neural layers, module extensibility, and Python coding support.

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Rating


4.7 / 5
(30)
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4.8 / 5
(9)
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Ideal number of Users

1 - 99

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Ease of Use


4.5 / 5


  • "We can build our own neural network architecture using keras without complex codings. The library make it easy to do."

  • "NNs are often complex and require a lot of tweaking get right, and the way Keras is designed makes it easy to modify your models."


4.1 / 5


Customer Support


4.3 / 5



4.5 / 5


Features & Functionality


4.4 / 5


  • "It's very, very easy to build most traditional DL algorithms and train them, even with some modifications."

  • "A lot of built-in layer types, easy way to connect them. Our team is using it with Theano and TensorFlow."


4.9 / 5


Value for Money


4.7 / 5



4.2 / 5


Product Features

  • check Convolutional Neural Networks
  • check Document Classification
  • close Image Segmentation
  • check ML Algorithm Library
  • check Model Training
  • close Neural Network Modeling
  • close Self-Learning
  • check Visualization
  • close Convolutional Neural Networks
  • close Document Classification
  • close Image Segmentation
  • close ML Algorithm Library
  • check Model Training
  • check Neural Network Modeling
  • close Self-Learning
  • close Visualization

Screenshots

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Platform

Web/Installed

Mobile

Web/Installed

Mobile

Support

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Training

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Keras vs NGC

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