Keras vs. Levity AI

Keras

Keras

19 Reviews and Ratings

Levity AI

Levity AI

0 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Keras	Score 7.0 out of 10	N/A	Keras is a Python deep learning library	N/A
Levity AI	Score 0.0 out of 10	N/A	Levity AI, from the company of the same name in Berlin, is a no-code workflow automation tool, used to remove manual work from simple processes, such as managing text, image and document data retrieval, or email management tasks, or analysis of survey results (Levity can detect positive, and negative answers, understand customer feedback, and filter for urgency).	$49 per month 500 actions per month (additional cost for more)

Pricing

Keras

Levity AI

Editions & Modules

No answers on this topic

Startup: $49
per month 500 actions per month (additional cost for more)
Business: $139
per month 5,000 actions per month (additional cost for more)
Enterprise: Custom

Offerings

Pricing Offerings
Keras	Levity AI
Free Trial
No	Yes
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Keras	Levity AI
Considered Both Products	Keras Verified User Anonymous Chose Keras As Keras is the high level API, so using Keras, we don't have to be bothered by the low level TensorFlow complexity, and we can reduce a lot coding and testing efforts. Incentivized Helpful? SK Saurabh Kumar Software Engineer Chose Keras For beginners, I always recommend starting with Keras, because it's really easy to use and learn at first. There is not much pre-requisite for this to start with. Incentivized Helpful? RK Rakesh Kumar Software Engineer Chose Keras Keras is much easier to learn as compared to TensorFlow. It also has a lot of built-in functionality that makes it much better than the alternatives. Incentivized Helpful? Rounak Jangir Ab Initio Developer Chose Keras Keras is a good point where you can learn lots of things and also have hands-on experience. There is not much comparison of Keras with Tensorlow, as Keras is a wrapper library which supports TensorFlow and Theano as backends for computation. But once you have enough knowledge … Incentivized Helpful? Raghuvar Prajapati Data Scientist Chose 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 … Incentivized Helpful? Gaurav Yadav Software Developer Chose 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 … Incentivized Helpful?	Levity AI No answer on this topic

Best Alternatives
	Keras	Levity AI
Small Businesses	InterSystems IRIS Score 8.1 out of 10	InterSystems IRIS Score 8.1 out of 10
Medium-sized Companies	Posit Score 10.0 out of 10	Posit Score 10.0 out of 10
Enterprises	Posit Score 10.0 out of 10	Posit Score 10.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Keras	Levity AI
Likelihood to Recommend	8.1 (0 ratings)	- (0 ratings)
Usability	7.7 (0 ratings)	- (0 ratings)
Support Rating	8.2 (0 ratings)	- (0 ratings)

User Testimonials
	Keras	Levity AI
Likelihood to Recommend	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. Incentivized Gaurav Yadav Software Developer Read full review	No answers on this topic
Pros	Implementing neural networks and deep learning models is easy with this. Data processing is easy with Python and Keras. Keras helps a lot and has a good collection of functions to do data processing. It has good integration with other devices like Android. Incentivized Raghuvar Prajapati Data Scientist Read full review	No answers on this topic
Cons	I didn't face any issue so far. The only thing, you can't modify everything in this. So it's not recommended for constructing highly optimised algorithms. SK Saurabh Kumar Software Engineer Read full review	No answers on this topic
Usability	The reason for giving this much rating. 1. It makes my job really easy and fast. 2. Strong community support. 3. Overall cost. Incentivized RK Rakesh Kumar Software Engineer Read full review	No answers on this topic
Support Rating	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 Read full review	No answers on this topic
Alternatives Considered	As Keras is the high level API, so using Keras, we don't have to be bothered by the low level TensorFlow complexity, and we can reduce a lot coding and testing efforts. Incentivized Verified User Anonymous Read full review	No answers on this topic
Return on Investment	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 Incentivized Rounak Jangir Ab Initio Developer Read full review	No answers on this topic
ScreenShots