expert.ai NL Suite vs. Keras

Existing body of data regarding our demographic targets, including social media, so for our psychographic targets, quite helpful. Alerts assist us in anticipating specific market demands. Yet AI is in its infancy so Cogito can only go as far as beta can go.

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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

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• Humongous amounts of data can be found
• Autonomous
• Gives us actionable data and market insights and ideas

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• 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.

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• 500k bits of data is a lot.
• Visualization is good but there is room for more refinement.
• Harnesses AI, yet more potential there.

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• 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

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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.

Fast with just a few clicks and quite breathtaking what it finds. Beware you cannot search, only find!

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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.

We were primitive using Salesforce, and while it is great, Cogito is a laser.

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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.

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• Identified new psychographic and demographic targets.
• Kept us in the tide of social media as it breaks.
• Improved our bottom line at least 7% so far.

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• 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.

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