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Artificial neural network
来自开放百科 - 灰狐
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*[[emergent]] | *[[emergent]] | ||
*[https://developer.nvidia.com/cuDNN cuDNN] | *[https://developer.nvidia.com/cuDNN cuDNN] | ||
| + | *[https://circuit-gnn.csail.mit.edu/ Circuit-GNN] Graph Neural Networks for Distributed Circuit Design | ||
| + | *[https://github.com/MolecularAI/GraphINVENT GraphINVENT] Graph neural networks for molecular design. | ||
==文档== | ==文档== | ||
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==图集== | ==图集== | ||
<gallery> | <gallery> | ||
| + | image:Neural-Network-and-Deep-Learning.png|神经网络与深度学习 | ||
image:neural-network-table.png|神经网络 | image:neural-network-table.png|神经网络 | ||
image:popular-deep-learning-models.png|深度学习模型 | image:popular-deep-learning-models.png|深度学习模型 | ||
| + | image:neural-network-zoo.png|神经网络Zoo | ||
| + | image:graph-neural-networks.png|图神经网络 | ||
</gallery> | </gallery> | ||
2022年8月7日 (日) 11:54的最后版本
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您可以在Wikipedia上了解到此条目的英文信息 Artificial neural network Thanks, Wikipedia. |
Artificial neural network (ANN) 人工神经网络
目录 |
[编辑] 类型
[编辑] 项目
- Word2vec是一个神经网络，它用来在使用深度学习算法之前预处理文本。它本身并没有实现深度学习，但是Word2Vec把文本变成深度学习能够理解的向量形式。
- Deeplearning4j, 如何选择神经网络, Introduction to Deep Neural Networks
- JavaNN
- emergent
- cuDNN
- Circuit-GNN Graph Neural Networks for Distributed Circuit Design
- GraphINVENT Graph neural networks for molecular design.
[编辑] 文档
- Multilayer Neural Networks
- Training Deep Neural Networks
- 神经网络与深度学习-幻灯片
- 神经网络与深度学习-讲义
- 在Spark上构建分布式神经网络
- Recursive Deep Learning for Natural Language Processing and Computer Vision
- Training Recurrent Neural Networks
- Statistical Language Models based on Neural Networks
- Supervised Sequence Labelling with Recurrent Neural Networks
- Transparent parallelization of neural network training
- A High-Density GPU Solution for DNN Training
[编辑] 图集
神经网络与深度学习
神经网络
深度学习模型
神经网络Zoo
图神经网络
[编辑] 链接
- Comparison of Neural Network Simulators
- Awesome Recurrent Neural Networks
- colah's blog: Neural Networks, Visualizing Neural Networks, Convolutional Neural Networks
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