Keras vs. Tessian Cloud Email Security Platform

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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Tessian Cloud Email Security is well suited for anyone that can afford it. Email is the gateway for the bad guys and having as much security and protection as possible is critical

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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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• simplicity
• plug-and-play
• low-hassle

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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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• The Outlook Add-In broke several systems during use.
• There are many changes to the account reps and engineers assigned to us. As a result, we lost touch with Tessian.
• Lack of knowledge and help from Support during times when the Add-In was disrupting users.

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.

Pretty straight forward for the users and admins. Some terminology takes a little time to learn for the admin, functionally seems rock solid.

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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.

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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Egress is a very capable product, likely on-par with Tessian as a fraction of the cost. I will be giving them a deep review this year

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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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• provides additional email security protections for inbound and outbound
• Helps prevent the mis-direction of outbound email

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info