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Authoritative Image Classifier With a High Degree of Skill
What do you like best about the product?
The fact that Inception V2 ResNet could be taken over by less errors in image classification tasks constitutes its main strength. To me, the accuracy of picking objects up in a complicated image, even those with intricate specifics, has always been astounding. It is creating a possibility for the proliferation in various applications such as a very rigorous image recognition system and the object detection.
What do you dislike about the product?
Despite the fact that this model itself can be quite complicated for those people who do not have such a broad knowledge in deep learning. Setting up and calibration of the model by itself requires considerable technical skills, which may become very complex for the model users who lack the sufficient technical experience.
What problems is the product solving and how is that benefiting you?
Even though I have to take some time to get it up to speed, Inception ResNet V2 has shown to be a precious tool for the projects I'm working on requiring image analysis. Its precision capacity enables me to allocate more time to analyse images and classify, which results in rechecking of data and improved efficiency. Nevertheless, I understand the growth refrain which will stimulate me to fully use its power.
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Best Deep Learning tool for academics
What do you like best about the product?
The ability to correctly classify images in remarkable. The pre-trained classifier can give me very good accuracy on very small data. It's very easy to implement and use .
What do you dislike about the product?
Inception gives state of the art performance and until now I haven't run into any issues with it. But I feel user documentation can be made better readable by providing examples of uses.
What problems is the product solving and how is that benefiting you?
I had a project that That needed to classify Images and it worked very well with my project. I was able to achieve very high accuracy and really scale up my project.
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