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torch-practice

Torch7深度学习实例

  1. linear-reg 实现最简单的线性回归,结果等效于最小二乘法拟合直线。 深度学习笔记(二)用Torch实现线性回归

  2. multilayer-perceptron 多层感知器神经网络 深度学习笔记(三)用Torch实现多层感知器

  3. neural-lena 将一幅图像当成一个2维函数,用神经网络去拟合

  4. mnist 用深度卷积网络实现mnist数据库的训练 深度学习笔记(四)用Torch实现MNIST手写数字识别

  5. rnn-timer 用递归神经网络实现一个简单的计时器 深度学习笔记(五)用Torch实现RNN来制作一个神经网络计时器

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