isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
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Updated
May 12, 2020 - Python
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
Using LSTM or Transformer to solve Image Captioning in Pytorch
Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.
Can chess engine use be detected just from the moves on the board? Let's try, using a CNN - LSTM architecture.
A Multi-classification of chinese text with cnn-rnn model.
An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combination of UNet, attention and transformers.
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
Embedding模型代码和学习笔记总结
Automatic Speech Recognition using Conformer with Speech Sentiment Analysis & Text Summarizer
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
Apply CNN-LSTM model on multi-class text classification task.
Train extracted MFCCs and labels saved in .h5 files using CNN-LSTM method and tensorflow 1.15 rc3 library. The model is converted into TensorFlow Lite model.
Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection
Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.
CNN-LSTM暴力视频鉴别,CNN-LSTM Violent video identification
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