资源列表
Incremental-ELM
- 很详细的极限学习机增量学习的代码，非常适合新手入门学习(Very detailed limit learning machine incremental learning code, very suitable for beginners to learn)
《1天搞懂深度学习》-李宏毅
- 适合新手的深度学习教程,李宏毅《一天搞懂深度学习》(deep learning resource)
Autoencoder_Code
- Hilton用玻尔兹曼机实现数据降维的源代码(Hinton Science06 Reducing the dimensionality of data with neural networks)
9573644
- 矩阵操作的C++实现,方便对其进行初始化,转置及求逆()
遗传算法优化RBF
- 可以实现以下功能：遗传算法优化RBF，GA-RBF(it is used to achieve the goal of GA-RBF)
DCGAN-tensorflow-master
- DCGAN实现高质量图像生成与分类，并增强了系统的稳定性与准确度(DCGAN enables high-quality image generation and classification, and enhances system stability and accuracy)
小波神经网络用于分类的基础源码
- 小波神经网络中用于分类的代码，代码比较复杂，需要多加学习。(The code used for classification in the wavelet neural network is more complex and needs more learning.)
蚁群MATlab
- 群优化算法之一，模拟蚁群生活习惯，优化算法(One of the group optimization algorithms, simulation of ant colony living habits, optimization algorithm)
tensorflow_CNN
- 使用tensorflow实现CNN 模型(implement CNN model using tensorflow)
七个RBF神经网络的源程序
- 包含了RBF源代码，可以用于RBF神经网络编程，其中包括RBF聚类，K均值聚类等(It includes the RBF source code, which can be used for RBF neural network programming, including RBF clustering, K mean clustering, etc.)
dynamic-coattention-network-master
- 这是新的attention机制模型 dynamic-attention 机制(this is dynamic attention model have a good performance)
attention-is-all-you-need-pytorch-master
- 这是 attention is all your need 的pytorch 代码实现(this is the article "attention is all your need " code)