recurrent-neural-networks

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

natural-language-processing deep-learning machine-translation recurrent-neural-networks gan style-transfer autoencoder convolutional-neural-networks tensorflow-examples

Updated Jun 14, 2021
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guillaume-chevalier / LSTM-Human-Activity-Recognition

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Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning deep-learning neural-network tensorflow activity-recognition recurrent-neural-networks lstm rnn human-activity-recognition

Updated Nov 6, 2022
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easy-tensorflow / easy-tensorflow

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Simple and comprehensive tutorials in TensorFlow

python machine-learning reinforcement-learning deep-learning neural-network tensorflow recurrent-neural-networks pattern-recognition convolutional-neural-networks object-detection

Updated Sep 13, 2023
Python

dragen1860 / Deep-Learning-with-PyTorch-Tutorials

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深度学习与PyTorch入门实战视频教程配套源代码和PPT

machine-learning tutorial deep-learning pytorch recurrent-neural-networks artificial-intelligence generative-adversarial-network convolutional-neural-networks

Updated Nov 17, 2019
Python

amanchadha / coursera-deep-learning-specialization

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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization

Updated Apr 13, 2024
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sjchoi86 / Tensorflow-101

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TensorFlow Tutorials

recurrent-neural-networks tensorflow-tutorials convolutional-neural-networks

Updated Mar 23, 2020
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Alro10 / deep-learning-time-series

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List of papers, code and experiments using deep learning for time series forecasting

deep-neural-networks deep-learning time-series tensorflow prediction python3 pytorch recurrent-neural-networks lstm series-analysis forecasting-models lstm-neural-networks demand-forecasting series-forecasting sales-forecasting time-series-classification time-series-prediction time-series-forecasting series-classification forecasting-competitions

Updated Mar 16, 2024
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mravanelli / pytorch-kaldi

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pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.