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Rapidly build neural network
November 09, 2020

Rapidly build neural network

Rakesh Kumar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Keras

Keras isn't utilized over the entire association, however it is being utilized by a portion of our specialties. In those offices, the vast majority of them are utilizing it to do some sort of AI task, which fundamentally incorporates planning and actualizing the neural organization. I have utilized this for loads of reasons. Every one of them was in AI fields, similar to picture preparing, essential grouping, and considerably more.
  • Easy to use. We can implement neural networks easily.
  • There is a lot of built-in utility that makes the task easier.
  • It also supports TensorFlow.
  • We can't modify everything that we want to.
  • Some built-in model can be included as a part of this library.
  • Resource requirement is quite high for using this library.
  • 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.
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.
The reason for giving this much rating.
1. It makes my job really easy and fast.
2. Strong community support.
3. Overall cost.
It has good customer support. Once I was stuck on issue. It was resolved within a week.

Do you think Keras delivers good value for the price?

Yes

Are you happy with Keras's feature set?

Yes

Did Keras live up to sales and marketing promises?

Yes

Did implementation of Keras go as expected?

Yes

Would you buy Keras again?

Yes

I would suggest using it when anybody needs to rapidly build up a neural network for the organization. Or if a client is tackling any AI issue that incorporates machine learning--image classification, face recognition, or doing some content examination which incorporates LSTM or some other calculation. It is not recommended if you want to change the algorithm internally, as it won't allow you to do so.