PaperEntry

Deep Cognition is my go to AI tool when I have to implement models that need to be put in production

주석: Easy of use. Less head ache configuring GPU drivers and debugging low level code.

장점:

It lets me focus on the Neural Network architectures instead of worrying about low level code details. Their AutoML feature is handy when I have to see what the leading Neural Network architecture for the specific problem is. I also teach Deep Cognition in our Data Science program after making the students go through basics using Tensorflow and Keras. We teach neural networks along side with traditional ML so that students can compare and contrast models and features. For more information, please visit https://divergenceacademy.com/

단점:

This is an upcoming product. Their user base is growing rapidly. It is yet to reach a tipping point for mass enterprise adoption. This is not a Con. I'm sure it will happen.

Great software! One of the easiest ways to create your own custom neural learning algorithm.

장점:

You can drag and drop neural network layers and make your custom algorithm. This makes it very iterate many different algorithms, and speeds up the research process.

단점:

Uploading data is a hassle. Wish I could just specify the folder where the images are, instead of creating a csv file.

Incredibly versatile model training tech.

주석: It's simple to use and the flexibility to use either web or desktop versions of it allows for accessibility to all that want to try it.

장점:

Flexibility to use web version if you do not own a powerful enought computer. Desktop version is free to use if you don't want to or can't upload datasets. Model creation can be done either through code or the GUI and are exportable.

단점:

If you opt for the desktop version, be prepared for a long installation process (might take up to an hour). This tech is GPU intensive, if you don't have a decent one you won't be able to take advantage of this solution.

It's a great platform for developing enterprise Deep Learning models without a single line of code!

주석: Fast development of a deep learning model using minimal or zero code while having full flexibility to customize the architecture of the network and hyperparameters.

장점:

This is a great platform, which will surely help in the goal of simplifying and democratizing AI! I like that you have the freedom of using the Deep Learning Studio Cloud version or run the desktop version on your local machine.

단점:

If you are a Mac user, you only have the choice of running the cloud version. This is a drawback for Mac users which would like to try the desktop version.

So great!!!

장점:

I can build AI more easily than ever, it does not require code, too cool!

Easy to Use Deep Learning

주석: Quickly trying different architectures for models.

장점:

The ease to create complex models but the depth of capability to create fine-tuned models. I really like the drag and drop user-interface.

단점:

It can be difficult sometimes to load data. Sometimes the data takes pre-massaging to get it into the correct format so it's not a complete out-of-the-box solution.

The best desktop app in I.A

장점:

Multilayers in development, python console incorporated, and other functions. Is very instinctive, I don't see another app with a good interface for the casual user that is begging in the A.I world.

단점:

Only few incorporated Recognition of images for import , i wish syncronize with V-REP simulation for robotic in a tunnel.