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Flex Logic InferX X1 vs. Keras

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Flex Logic InferX X1
Score 0.0 out of 10
N/A
Flex Logic headquartered in Mountain View offers InferX X1, is an AI edge inference accelerator that enables megapixel neural network models in high performance applications. The InferX Edge Inference SDK finds an optimal hardware mapping for each layer of a neural network without making any modifications to the underlying model, and the compiled binary can then run on any InferX X1 chip or board using the Flex Logic runtime environment.N/A
Keras
Score 7.0 out of 10
N/A
Keras is a Python deep learning libraryN/A
Pricing
Flex Logic InferX X1Keras
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Flex Logic InferX X1Keras
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Flex Logic InferX X1Keras
Best Alternatives
Flex Logic InferX X1Keras
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Flex Logic InferX X1Keras
Likelihood to Recommend
-
(0 ratings)
8.1
(6 ratings)
Usability
-
(0 ratings)
7.7
(2 ratings)
Support Rating
-
(0 ratings)
8.2
(2 ratings)
User Testimonials
Flex Logic InferX X1Keras
Likelihood to Recommend
Flex Logic Technologies, Inc
No answers on this topic
Open Source
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
Verified User
Anonymous
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Pros
Flex Logic Technologies, Inc
No answers on this topic
Open Source
  • 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
Gaurav Yadav
Software Developer
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Cons
Flex Logic Technologies, Inc
No answers on this topic
Open Source
  • 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
Rounak Jangir
Ab Initio Developer
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Usability
Flex Logic Technologies, Inc
No answers on this topic
Open Source
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.
SK
Saurabh Kumar
Software Engineer
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Support Rating
Flex Logic Technologies, Inc
No answers on this topic
Open Source
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.
SK
Saurabh Kumar
Software Engineer
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Alternatives Considered
Flex Logic Technologies, Inc
No answers on this topic
Open Source
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
Raghuvar Prajapati
Data Scientist
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Return on Investment
Flex Logic Technologies, Inc
No answers on this topic
Open Source
  • 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.
RK
Rakesh Kumar
Software Engineer
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