Keras

Keras

5 / 5 5 reviews


Average Ratings

5 Reviews
  • 5 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 4.5 / 5
    Customer Service

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About Keras

Open source neural network library, written in Python, that supports both recurrent networks and convolutional networks.


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Keras Features

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

Keras Reviews Recently Reviewed!


A great library for training Deep Neural Networks

May 02, 2018
5/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
Likelihood to Recommend: 10.0/10 Not
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Pros: Python is easy to use and extensible. The modularity of these libraries is the future of building complex machine learning models. Keras is one of the better frameworks out there right now. It allows us to train deep neural nets at a reasonable rate. Keras is compatible with Apple's Core ML which is very useful for our moblie app development.

Cons: Keras is a little limited in what it can handle. Luckily there are other frameworks popping up every day to supplement any shortcomings.

Overall: Keras is fully compatible with Core ML - this allows our dev team to build complex mobile applications on the latest iOS devices.

The more accessible brother of TensorFlow

Jun 28, 2018
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
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Pros: It's very, very easy to build most traditional DL algorithms and train them, even with some modifications.

Cons: Developing new algorithms might be somewhat more cumbersome than with some of the alternatives, as Keras stays at a pretty high level of abstraction.

Nice framework fo NNs

Apr 12, 2018
4/5
Overall
2 / 5
Ease of Use
4 / 5
Features & Functionality
Likelihood to Recommend: 7.0/10 Not
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Pros: A lot of built-in layer types, easy way to connect them. Our team is using it with Theano and TensorFlow

Cons: Sometimes you need to do something more complex and Keras is not able to handle it. It is the second you need to switch to Lasagne.

A great python library for deep learning - used extensively by our innovation team.

Mar 07, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Keras is the best library for deep learning machine learning models. It is modular, minimalist and extensible. Python really is the future for machine learning models. It is fast and very advanced in its capability.

Cons: Learning curve is intense, this is to be expected with emerging technologies so that is the least of our concerns.

Overall: Keras is one of the only real solutions to deep learning and looks great doing it. This is an extensible and very effective solution to building complex machine learning models.

Capterra-loader

Is great using a GPU to make fastest calculations.

May 05, 2018
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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Pros: I was using it in Python, with models trained, in a few lines of code i obtained data with a webcamera, the same code worked with CPU and GPU without make changes.

Cons: When I use many models of tensor flow linked with keras, it's become a little slow and make need use of GPU to obtain 10fps with a GTX 1050 Ti

Overall: I obtained calculations in real-time of facial expressions to complete a project. It make the development more robust and faster.