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convolutional-lstm

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Simeonedef / Time-Series_Imaging_Forecasting

Star 17

In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.

deep-learning series convolutional-layers matplotlib eth-zurich predictions ethz convolutional-lstm time-series-forecasting tensorflow2 conv-lstm holt-winter conv-mlp lstm-architecture
  • Updated Jul 6, 2023
  • Python

tamlthari / vietnamese_handwritten_text_recognition_cinnamon_ocr

Star 9

This is a solution to Cinnamon AI Challenge (https://drive.google.com/drive/folders/1Qa2YA6w6V5MaNV-qxqhsHHoYFRK5JB39) using convolutional, attention, bidirectional LSTM, achieving CER 0.081 WER 0.188 and SER 0.89

ocr vietnamese lstm attention optical-character-recognition convolutional-neural-network handwritten-text-recognition bidirectional-lstm convolutional-lstm crnn-ctc
  • Updated Jan 29, 2020
  • Python

papari1123 / Research-of-Particulate-Matter-Prediction-Modeling-Based-on-Deep-Learning

Star 4

This repository introduces Deep Particulate Matter Network with a Separated Input model based on deep learning by using ConvGRU, which can simultaneously analyze spatiotemporal information to consider the diffusion of particulate matter.

deep-learning lstm gru particulate-matter convolutional-lstm time-series-forecasting spatiotemporal-data-analysis
  • Updated Oct 10, 2022
  • Jupyter Notebook

souradeepdutta / Speech-Emotion-Recognition-with-CNN-LSTM-CLSTM

Star 0

his is a Speech Emotion Recognition system that classifies emotions from speech samples using deep learning models. The project uses four datasets: CREMAD, RAVDESS, SAVEE, and TESS. The model achieves an accuracy of 96% by combining CNN, LSTM, and CLSTM architectures, along with data augmentation techniques and feature extraction methods.

machine-learning deep-learning cnn lstm human-computer-interaction convolutional-lstm clstm speech-emotion-recognition ravdess-dataset speech-emotion-classification tess-dataset savee-dataset crema-d-dataset
  • Updated Nov 22, 2024
  • Jupyter Notebook

cnavneet / notMNIST

Star 0

Identifying text in images in different fonts using deep neural network techniques.

deep-neural-networks deep-learning tensorflow dropout sgd deep-learning-algorithms convolutional-layers regularization convolutional-networks convolutional-neural-networks convolutional-neural-network l2-regularization stochastic-gradient-descent tensorflow-examples covnet-image-classifier convolutional-lstm relu relu-layer
  • Updated Jun 18, 2018
  • Jupyter Notebook

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