تحميل تطبيق NeuLab

NeuLab is a complete laboratory for learning about neural networks through hands on usage.
* Each screen has a Help button to give usage help for all controls on that screen.
* Configure, train, test, and optimize your network.
* Use AutoPrune to increase network accuracy.
* Use Prune and Link to build convolution layers.
* Define the input-output examples used for training and testing. Use NeuLabs built in editor or define these externally for import.
* Save and export your trained networks for study and reuse.
* Save and export your training data and test results.
* Step the network training to see how internal weights change with each presentation of training data.
* Step the network testing to see how internal nodes activate in response to the inputs and produce the network outputs.

Background: Neural networks process data via highly interconnected layers of simple processing nodes. These networks are being employed across all areas of pattern recognition and classification: handwritten character recognition, voice recognition, face detection/recognition, image classification, biometric security, credit risk assessment, financial markets analysis, sports analysis, language processing, game playing, the list goes on and on. A neural net learns by observation and doesn’t need problem specific rules or algorithms programmed in. The key factors for success are the network architecture, the training parameters, and most importantly the training data representation and the data examples themselves.

NeuLab is primarily an educational app to give you familiarity with how a neural network operates and to see its inner workings. You configure the network and provide the example data for training and testing the network. Your trained network hopefully will have learned the relationships necessary for good results when presented with your test data. Testing the network is critical to assessing its usefulness on as yet

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ماهو الجديد في الإصدار 1.6؟

This app has been updated by Apple to display the Apple Watch app icon.

A few new features for Network configuration.
1. Added a Link button. Link groups connections link الرابط من هنا that they share the same weights. Link also restores any pruned connections involved so that you don't have to restore them separately. During training the weights for each group are updated to the group average. (Hint - use Prune and Link to create convolution layers)
2. Added an Unlink button to remove a linked grouping.
3. Added the Seed button to re-initialize weights to new random values without disturbing the network topology. Pruned weights and linkages are not disturbed (whereas Init clears all linkages and pruning).
4. Updated a few error messages.