data-science machine-learning deep-learning exploratory-data-analysis recurrent-neural-networks neural-networks data-analysis recommender-system convolutional-networks papers generalized-additive-models rnn-lstm Updated Dec 2, 2023 Ankit-Kumar-Saini / Coursera_Deep_Learning_Specialization Star 90 Code Iss...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
rnn: recurrent neural networks Note: this repository is deprecated in favor of https://github.com/torch/rnn. This is a Recurrent Neural Network library that extends Torch's nn. You can use it to build RNNs, LSTMs, GRUs, BRNNs, BLSTMs, and so forth and so on. This library includes ...
自己搭建的一个训练框架,包含模型有:cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU)等。 此框架主要针对分类任务, 后面会陆续搭建多任务多标签、检测等框架,欢...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
了解神经网络结构(NN,CNN,RNN) 使用框架运行神经网络,查看并对比神经网络学习的效果 不断调整神经网络的参数,逐步提升学习效果(以CNN为例) 对比神经网络与一般机器算法的区别 目录 pytorch的安装 数据预处理 CNN的实现 CNN的三次迭代过程及最终结果 RNN的实现与预测结果 ...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
近日,澳大利亚伍伦贡大学联合电子科技大学提出一种新型的循环神经网络 IndRNN,不仅可以解决传统 RNN 所存在的梯度消失和梯度爆炸问题,还学习长期依赖关系;此外,借助 relu 等非饱和激活函数,训练之后 IndRNN 会变得非常鲁棒,并且通过堆叠多层 IndRNN 还可以构建比现有 RNN 更深的网络。实验结果表明,与传统的 RNN 和 LSTM...
RNN-Attention 两层attention lstm评论情感分析 业务背景介绍: 目的是通过商品的海量品论信息给分析情感给产品打分。 使用的两层attention的循环神经网络,第一层attention主要是学习单个评论点评的情感语意,第二层attention主要是学习多个学习多个评论对应到一个产品的向量信息,然后通过softmax分类,使用attention主要是避免...