Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.
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PG Forsta HX Platform
Score9.5 out of 10
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The PG Forsta HX platform, the technology and research solution formed from the Forsta solution based on the combined (through merger) technology of Dapresy, Confirmit, and FocusVision, and later by the acquisition of Press Ganey in 2022, is a customer experience management solution featuring both forms and text analysis to understand the Voice of the Customer.
Caffe is only appropriate for some new beginners who don't want to write any lines of code, just want to use existing models for image recognition, or have some taste of the so-called Deep Learning.
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
They have done a good job at helping us maintain the integrity of the project while transitioning to a completely new platform. Our Voice of the Customer program happens to consist of multiple surveys within one "master" so I guess logistically it could be considered complex
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
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
Confirmit has a fairly shallow learning curve allowing someone with no experience to be able to create a simple survey with not much time invested in training.
Confirmit also has the flexibility to be used in very advanced ways. Whether modifying the display/page content's layout or modifying input types with jQuery, it is incredibly adaptable.
Confirmit (with v. 18) now collects data in a true SQL database which is far more robust and easy to administrate than some other methods of data storage.
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
Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.
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
Ensure correct data collection. This is Confirmit's main goal, and which sometimes fails to succeed.
Integrated data back-up service. It would be great if we could look at the data from a couple days previous.
Interactive layout creator. Current layout creator is really "squared" as we say, it needs more flexibility with all the incoming technologies such as HTML5 and CSS3.
From my point of view Confirmit has been a key tool in our organization. Without it we can't deliver what we do at this moment. Confirmit has proved that is a reliable, stable and easy to use tool. The few issues we found (as far as I know) were sent to Confirmit support team and fix them. Patching the product has been done faster and without large downtime of the product
Confirmit is a very technical tool, it takes time for someone to get used to the interface, even when it could definitely be more intuitive or user friendly, this is part of Confirmit's strenghts that makes it one of the most robust data collection technologies out there.
The support team is responsive and I can tell that they are actually trying to help get to the heart of the issues before making us try every possible solution available. They ask the right questions and test things before coming back to us with proposals. I like the support team at Confirmit.
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
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
TensorFlow is kind of low-level API most suited for those developers who like to control the details, while Keras provides some kind of high-level API for those users who want to boost their project or experiment by reusing most of the existing architecture or models and the accumulated best practice. However, Caffe isn't like either of them so the position for the user is kind of embarrassing.
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
Forsta has a strong product functionality and performance. Integration capabilities are fantastic and it has strong customer focus. Pre-existing relationships also helped in cracking this deal. People at Forsta are helpful and customer centric. Although cost is not highly competitive but it comes close to value for money. Competitors have quite a few functionalities but there are additional charges levied for them.
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
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
I love Confirmit, the only negative is that my experience using any other program is always terrible in comparison.
I had Confirmit rep come into the office and was disapointed that they didn't have much informaton on how to use it as a researcher in marking research, perhaps employing more internal marketing researchers would help that.
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
