使用LSTM预测股价案例，超级精简，便于理解，是LSTM入门的好案例。

其余两个模型文件可重新训练

stock_price_prediction_LSTM 使用LSTM预测股票价格。

股票价格预测-LSTM-TCN-GBDT 使用四种算法（LSTM，TCN，GRU，GBDT）进行股票价格的预测和预测结果的检验。

利用LSTM网络和CNN网络分别对MNIST手写数据集进行识别的tensorflow代码，压缩包中包含两个文件。

Many Human-Body-Fall-Dow n Detection models are faced with problems like lower adaptability and higher w rong-detection rate in different detection scenes，and targeting on these shortcomings this research proposes a Human-Body-Fall-Dow n Detection Model based on the human skeleton keypoints and the LSTM neural network． This model detects the skeleton keypoints of the continuous multi-frame human body by Alphapose，and then divides the coordinate sequences of the skeleton keypoints into X and Y coordinate sequence，and then inputs them respectively into LSTM neural network to extract the time-order character; the last step is to input the LSTM hidden layer output vector into a full connection layer to obtain the results． This research uses public data set M uHAViMAS and Le2i to execute this experiment，and compares itself with many other detection models． The results show that this model has relatively high detection accuracy in multiple scenes，multiple view s，and multiple poses of falling．

深度学习实战篇：采用LSTM网络进行影评情感分析，涉及到词向量模型。训练样本数据齐全。代码有图有分析，便于初学者学些。

https://blog.csdn.net/xspyzm/article/details/105367729 lstm预测新冠疫情所用到的数据

本科毕设论文；深度学习入门

lstm-cnn- pytorch版学习