CNN_LSTM.ipynb README.md basic1.1.csv confusion_matrix.png model_accuracy.png model_loss.png Repository files navigation README High-Performance Computing and Big Data: Deep Learning Model Training This repository contains code for training a deep learning model using TensorFlow and Keras....
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machine-learning keras prediction lstm limit-order-book cnn-lstm Updated Dec 8, 2022 Python vandana-rajan / 1D-Speech-Emotion-Recognition Star 104 Code Issues Pull requests Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM speech-emotion-recognition cnn-lstm emodb-database...
Semantic Similarity Detection task using CNN and LSTM Semantic Similarity Detection (SSD) holds significance in various Natural Language Processing (NLP) applications, including Automatic Text Summarization (ATS), Question-Answering, and Information Retrieval. Our system integrates CNN and LSTM structures to...
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CNN+LSTM+Attention实现时间序列预测. Contribute to pengxiang1998/DeepLearning development by creating an account on GitHub.
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一个LSTM单元完成的运算可以被分为三部分:(1)输入到隐层的映射(input-to-hidden) :每个时间步输入信息x会首先经过一个矩阵映射,再作为遗忘门,输入门,记忆单元,输出门的输入,注意,这一次映射没有引入非线性激活;(2)隐层到隐层的映射(hidden-to-hidden):这一步是LSTM计算的主体,包括遗忘门,输入门,记忆单元更...
基于pytorch的CNN、LSTM神经网络模型调参小结 (Demo) 这是最近两个月来的一个小总结,实现的demo已经上传github,里面包含了CNN、LSTM、BiLSTM、GRU以及CNN与LSTM、BiLSTM的结合还有多层多通道CNN、LSTM、BiLSTM等多个神经网络模型的的实现。这篇文章总结一下最近一段时间遇到的问题、处理方法和相关策略,以及经验(其实...
https://github.com/Tanny1810/Human-Activity-Recognition-LSTM-CNN 您可以尝试自己实现它,通过优化模型来提高F1分数。 另:这个模型是来自于Xia Kun, Huang Jianguang, and Hanyu Wang在IEEE期刊上发表的论文LSTM-CNN Architecture for Human Activity Recognition。https://ieeexplore.ieee.org/abstract/document/904353...