机器学习的小学生

import torchimport torch.nn as nnimport torchvision.transforms as transformsimport torchvision.datasets as dsetsfrom torch.autograd import Variable'''STEP 1: LOADING DATASET'''train_dataset =...

// Message that stores parameters used by RecurrentLayermessage RecurrentParameter { // The dimension of the output (and usually hidden state) representation -- // must be explicitly set to non-z...

参考文献：https://blog.youkuaiyun.com/wjc1182511338/article/details/79285503 [LSTM详解 反向传播公式推导]

下面给出在caffe中使用lstm的一个例子，其中数据集采用mnist。在使用lstm中一定要注意clip_markers，每个序列以0开始，后面接1保持为当前序列。训练代码为：train_mnist_classification.py#coding=gbkimport numpy as npimport matplotlib.pyplot as pltimport scipy.i...