What users are saying about
12 Ratings
14 Ratings
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Score 8 out of 101
12 Ratings
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Score 8.6 out of 101

Likelihood to Recommend

Amazon SageMaker

Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
Thomas Young profile photo

Keras

I would recommend it for use when anyone wants to quickly develop a neural network. Or if a user is solving any machine learning problem that includes deep learning. And this kind of problem will be like image recognition, face recognition, doing some text analysis using deep learning which includes LSTM or some other algorithm.
Gaurav Yadav profile photo

Pros

Amazon SageMaker

  • Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
  • Customization and easy to alter and change.
  • If you already are an Amazon user, you do not need to transition over to another software.
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Keras

  • Performs well when you are doing some implementation which requires neural network implementation and some other deep learning models
  • It has lots of inbuilt tools which you can have clean your data before processing
  • It supports Tensorflow as its backend, so it can easily use GPU
Rounak Jangir profile photo

Cons

Amazon SageMaker

  • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
  • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
No photo available

Keras

  • With Keras you don't have much power to configure your model. So, if it can be possible to do the customization to the deep level, then it will be good.
  • It is only available for Python, doesn't have other language support.
  • Would love to see dynamic chart creation, like PyTorch
Raghuvar Prajapati profile photo

Alternatives Considered

Amazon SageMaker

Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
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Keras

TensorFlow and Caffe are bit hard to learn but they give you power to implement everything by you own. But most of the time it is not required to implement our own algorithm, we can solve the problem with just using the already provided algorithms. As compared to TensorFlow and Caffe, Keras is very easy to use and develop things.
Gaurav Yadav profile photo

Return on Investment

Amazon SageMaker

  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
Gavin Hackeling profile photo

Keras

  • It helped me in learning the basic concept of deep learning by having hands-on experience.
  • It has helped us to implement our NN with very little time.
  • It doesn't give you the whole power to customize your neural network. If you want that then you have to shift to TensorFLow
Rounak Jangir profile photo

Pricing Details

Amazon SageMaker

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Keras

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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