Implementations of Artificial Neural Networks Based on their Diagrams
Project description
Implementations of Artificial Neural Networks Based on their Diagrams
Authors
- Milad Sadeghi DM - EverlookNeverSee@GitHub
- List of all contributors to this repository
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
License
This project licensed under the MIT License - see the LICENSE file for more details.
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