machine-learningdeep-learningmxnettensorflowcnnpytorchkaggleganrnnmachinelearningdeeplearninggcn UpdatedApr 21, 2022 Jupyter Notebook datawhalechina/leedl-tutorial Star14.9k 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases ...
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...
MachineLP/train_cnn-rnn 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...
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...
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本文是基于TensorFlow使用RNN进行的中文文本分类 环境 Python 3 TensorFlow 数据集 使用THUCNews的一个子集进行训练与测试(由于数据集太大,无法上传到Github,可自行下载),数据集划分如下: 训练集cnews.train.txt 50000条 验证集cnews.val.txt 5000条 测试集cnews.test.txt 10000条 共分为10个类别:"体育","财经"...
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 ...
使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比 - Lizhen0628/text_classification
char-rnn This code implements multi-layer Recurrent Neural Network (RNN, LSTM, and GRU) for training/sampling from character-level language models. In other words the model takes one text file as input and trains a Recurrent Neural Network that learns to predict the next character in a sequenc...
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 ...