AltaML vs. Keras

AltaML

AltaML

0 Reviews and Ratings

Keras

Keras

19 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
AltaML	Score 0.0 out of 10	N/A	AltaML is a developer of AI-powered solutions. Working with organizations that want to leverage their data using artificial intelligence (AI), AltaML develops solutions that help organizations to create operational efficiency, reduce risk, and generate new sources of revenue. Through their understanding of organizational pain points and challenges, AltaML develops solutions that encompass the entire machine learning (ML) life cycle, from evaluating potential use cases and determining…	N/A
Keras	Score 7.0 out of 10	N/A	Keras is a Python deep learning library	N/A

Pricing

AltaML

Keras

Editions & Modules

No answers on this topic

No answers on this topic

Offerings

Pricing Offerings
AltaML	Keras
Free Trial
No	No
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
	AltaML	Keras
Considered Both Products	AltaML No answer on this topic	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?

Best Alternatives
	AltaML	Keras
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User Ratings
	AltaML	Keras
Likelihood to Recommend	- (0 ratings)	8.1 (0 ratings)
Usability	- (0 ratings)	7.7 (0 ratings)
Support Rating	- (0 ratings)	8.2 (0 ratings)

User Testimonials
	AltaML	Keras
Likelihood to Recommend	No answers on this topic	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
Pros	No answers on this topic	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
Cons	No answers on this topic	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
Usability	No answers on this topic	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
Support Rating	No answers on this topic	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
Alternatives Considered	No answers on this topic	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
Return on Investment	No answers on this topic	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
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