文件列表:

Example Projects (0, 2017-11-22)
Example Projects\AutoEncoder Example (0, 2017-11-22)
Example Projects\AutoEncoder Example\Properties.json (221, 2017-11-22)
Example Projects\AutoEncoder Example\Scene.json (2502, 2017-11-22)
Example Projects\Cifar Classifier (0, 2017-11-22)
Example Projects\Cifar Classifier\Properties.json (215, 2017-11-22)
Example Projects\Cifar Classifier\Scene.json (3523, 2017-11-22)
Example Projects\MNIST Classifier (0, 2017-11-22)
Example Projects\MNIST Classifier\Properties.json (215, 2017-11-22)
Example Projects\MNIST Classifier\Saver (0, 2017-11-22)
Example Projects\MNIST Classifier\Saver\checkpoint (231, 2017-11-22)
Example Projects\MNIST Classifier\Saver\model.data-00000-of-00001 (2442368, 2017-11-22)
Example Projects\MNIST Classifier\Saver\model.index (516, 2017-11-22)
Example Projects\MNIST Classifier\Saver\model.meta (38912, 2017-11-22)
Example Projects\MNIST Classifier\Scene.json (4395, 2017-11-22)
Example Projects\MNIST Classifier\out_14.jpg (987, 2017-11-22)
ExampleProjects.zip (2161079, 2017-11-22)
ScreenShots (0, 2017-11-22)
ScreenShots\sc1.png (50748, 2017-11-22)
ScreenShots\sc2.png (47573, 2017-11-22)
ScreenShots\sc3.png (43426, 2017-11-22)
ScreenShots\sc4.png (397228, 2017-11-22)
ScreenShots\sc5.png (98041, 2017-11-22)
ScreenShots\sc6.png (3099, 2017-11-22)
Sources (0, 2017-11-22)
Sources\.babelrc (35, 2017-11-22)
Sources\build.bat (26, 2017-11-22)
Sources\build_scripts (0, 2017-11-22)
Sources\build_scripts\global_functions.py (1435, 2017-11-22)
Sources\package.json (987, 2017-11-22)
Sources\scripts (0, 2017-11-22)
Sources\scripts\CIFAR10_loader.py (4840, 2017-11-22)
Sources\scripts\MINST_loader.py (835, 2017-11-22)
Sources\scripts\MNIST_loader.py (835, 2017-11-22)
Sources\scripts\auto_encoder.py (2189, 2017-11-22)
Sources\scripts\chart.py (185, 2017-11-22)
... ...

#  A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models! The concept of AI-Blocs is to have a simple scene with draggable objects that have scripts attached to them. The model can be run directly on the editor or be exported to a standalone script that runs on Tensorflow. Variables are parsed from python scripts and can be edited from the AI-Blocs properties panel. ### Install The project requires python (https://www.python.org/) and tensorflow (https://www.tensorflow.org/) to run projects. You can still create and edit projects without these dependencies. To run AI-Blocs, download the project archive and launch AI-Blocs.exe. To run your model simply press the "Play" button and let the magic happen! ### Download All releases can be found here: https://github.com/MrNothing/AI-Blocks/releases/ ### License The program is distributed under the following license: https://creativecommons.org/licenses/by-nc/3.0/

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