nn Sequential 中使用LSTM/GRU

由于LSTM/GRU这种是多个输出，所以没法直接使用，可以采用自定义模块的方式来转化成一个。 还有一个方案： ``` # I made a module called SelectItem to pick out an element from a tuple or list class SelectItem(nn.Module): d…

PyTorch Lightning,训练金价走势时序任务LSTM, Timeseries, C…

Import dependencies =================== ``` # Re-loads all imports every time the cell is ran. %load_ext autoreload %autoreload 2 from time import time import numpy as np im…

LSTM+Attention demo

``` #!/usr/bin/python # -*- coding: utf-8 -*- import torch from torch import nn import torch.nn.functional as F # 定义 单双向LSTM 模型 class Rnn(nn.Module): ”“” 双向lstm “”“ …

How to perform LSTM in PyTorch?

To perform LSTM in PyTorch, you can use the `nn.LSTM` module. Here is an example code snippet that demonstrates how to define an LSTM module in PyTorch: ``` import torch import…

How to use an LSTM layer for text classificatio…

To use an LSTM layer for text classification in Keras, you can add an `LSTM()` layer from the `keras.layers` module to your model. Here's an example: ``` from keras.layers impo…

How to use a bidirectional LSTM layer for text …

To use a bidirectional LSTM layer for text classification in Keras, you can use the `Bidirectional` layer wrapper provided by Keras. This wrapper takes a recurrent layer (e.g. LST…

How to use a recurrent neural network (RNN) for…

To use a recurrent neural network (RNN) for text classification in Keras, you'll need to perform the following steps: 1. Prepare your data: Convert your textual data into numeri…