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Implementations of Artificial Neural Networks Based on their Diagrams

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Implementations of Artificial Neural Networks Based on their Diagrams


Implemented Models

  • PLNet - Convolutional Neural Network with Parallel Layers
  • MLANet - Convolutional Neural Network with Multiple Layer Additions
  • LeNet-5 - Gradient-Based Learning Applied to Document Recognition
  • AlexNet - ImageNet Classification with Deep Convolutional Neural Networks
  • VGG-16 - Very Deep Convolutional Networks For Large Scale Image Recognition
  • Inception-v1 - Going Deeper With Convolutions
  • Xception - Deep Learning with Depthwise Separable Convolutions


This project licensed under the MIT License - see the LICENSE file for more details.

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