What users are saying about
6 Ratings
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Score 8.1 out of 100
16 Ratings
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Score 8.7 out of 100

Likelihood to Recommend

IBM Watson Machine Learning

Wherever you have a well qualified, segregated, data set with a clear problem definition any machine learning tool can be deployed. However, the key is to help the client define the problem to create the baseline on the performance and show improvements. It may so happen that we may not need a machine learning tool. This is where the execution of IBM Watson Machine Learning is lacking.
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Keras

Keras is quite perfect, if the aim is to build the standard Deep Learning model, and materialize it to serve the real business use case, while it is not suitable if the purpose is for research and a lot of non-standard try out and customization are required, in that case either directly goes to low level TensorFlow API or Pytorch
Anonymous | TrustRadius Reviewer

Pros

IBM Watson Machine Learning

  • Good machine learning tool
  • Easy integration
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Keras

  • One of the reason to use Keras is that it is easy to use. Implementing neural network is very easy in this, with just one line of code we can add one layer in the neural network with all it's configurations.
  • It provides lot of inbuilt thing like cov2d, conv2D, maxPooling layers. So it makes fast development as you don't need to write everything on your own. It comes with lot of data processing libraries in it like one hot encoder which also makes your development easy and fast.
  • It also provides functionality to develop models on mobile device.
Gaurav Yadav | TrustRadius Reviewer

Cons

IBM Watson Machine Learning

  • IBM Watson Machine Learning delivery is challenging
  • IBM Watson's deployment business skill gap
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Keras

  • As it is a kind of wrapper library it won't allow you to modify everything of its backend
  • Unlike other deep learning libraries, it lacks a pre-defined trained model to use
  • Errors thrown are not always very useful for debugging. Sometimes it is difficult to know the root cause just with the logs
Rounak Jangir | TrustRadius Reviewer

Usability

IBM Watson Machine Learning

No score
No answers yet
No answers on this topic

Keras

Keras 7.7
Based on 2 answers
I am giving this rating depending on my experience so far with Keras, I didn't face any issue far. I would like to recommend it to the new developers.
Saurabh Kumar | TrustRadius Reviewer

Support Rating

IBM Watson Machine Learning

IBM Watson Machine Learning 4.0
Based on 2 answers
IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Keras

Keras 8.2
Based on 2 answers
Keras have really good support along with the strong community over the internet. So in case you stuck, It won't so hard to get out from it.
Saurabh Kumar | TrustRadius Reviewer

Alternatives Considered

IBM Watson Machine Learning

We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Keras

Keras is good to develop deep learning models. As compared to TensorFlow, it's easy to write code in Keras. You have more power with TensorFlow but also have a high error rate because you have to configure everything by your own. And as compared to MATLAB, I will always prefer Keras as it is easy and powerful as well.
Raghuvar Prajapati | TrustRadius Reviewer

Return on Investment

IBM Watson Machine Learning

No answers on this topic

Keras

  • Easy and faster way to develop neural network.
  • It would be much better if it is available in Java.
  • It doesn't allow you to modify the internal things.
Rakesh Kumar | TrustRadius Reviewer

Pricing Details

IBM Watson Machine Learning

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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