搜索资源列表
DeepLearningTutorials-python
- 深度神经网络轻量级工具包，Python简单实现，内含各种模型的代码以及模型的简单理解说明，适合初学者阅读使用。-Deep Neural Networks lightweight toolkit, Python simple implementation, containing simple to understand explanation of each model and the model code, suitable for beginners read.
OS-ELM(Python)
- ELM是一种简单易用、有效的单隐层前馈神经网络，该代码是用python实现的极限学习机，亲测有用-extreme learning machine realized by python，it works well
tensorflow_simple_neuNetwork
- 基于tensorflow的简单神经网络代码实现(Implementation of simple neural network code based on tensorflow)
tensorflow_cov_mnist
- 基于tensorflow的mnist数据集卷积神经网络简单代码实现。(MNIST dataset based on tensorflow convolutional neural network simple code implementation)
Chapter_2.1.1.3
- 贝叶斯算法、决策树、神经网络等算法的简单python实现(Bias algorithm, decision tree and neural network)
main
- 神经网络，前向传播，反向传播，减小loss值(Neural network, forward propagation, backpropagation, reduce loss value)
nn_code
- 使用Python实现的一些简单神经网络算法，实现的神经网络包括BP,CNN,RNN,LSTM等，主要是理解这些神经网络的算法原理，并附有mnist数字识别例子。(neural network,include BP,CNN,RNN,LSTM.)
elm
- 一个简单移动的ELM超限学习机的小例子，实现了简单的ELM神经网络模型，并且还带有测试数据集。(A simple example of a simple moving ELM overrun learning machine)
CNN_easy
- 简单CNN神经网络的TensorFlow实现(TensorFlow implementation of simple CNN neural network)