Keras vs. Neuton

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

Incentivized

The machine learning modeling and time-series forecasting are the best things that Neuton's platform provides. Researchers in the field of healthcare, marketing and various other industries can use this platform to get more in-depth insights into the dataset that they have been working on. Neuton.ai is going to bring in image detection and text analysis in the future which makes the perfect choice for people from product management profiles and various Data Science backgrounds.

• 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.

Incentivized

• Exploratory Data Analysis
• Machine learning modeling
• Time Series forecasting

• 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

Incentivized

• User Onboarding with Google cloud platform is the most confusing part, this can be definitely be improved
• UI of the platform
• Front end of the website seems simple, little more features can be added so that people or users can navigate to various pages and know more about the platform

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.

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.

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.

Incentivized

• 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.

Incentivized

• We have had 2% increase in our market reach using the EDA from the Neuton's Platform