recurrent-neural-networks

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

UpdatedJul 2, 2025
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NELSONZHAO /zhihu

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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

UpdatedJun 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

UpdatedNov 6, 2022
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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

UpdatedNov 17, 2019
Python

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

UpdatedJul 8, 2024
Python

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

UpdatedMar 16, 2024
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sjchoi86 /Tensorflow-101

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TensorFlow Tutorials

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

UpdatedMar 23, 2020
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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.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm