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recurrent-neural-networks
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VIP cheatsheets for Stanford's CS 230 Deep Learning
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Updated
May 20, 2020
bayou3
commented
Sep 29, 2017
首先感谢楼主的分享，对于basic_seq2seq中的代码，运行时产生如下错误，我的tensorflow是最新的1.3.0 gpu版本，执行时所有代码均未改动，想楼主帮看看
Traceback (most recent call last):
File "D:\Workspaces\Eclipse\PythonLearn1\src\seq2seq_init_.py", line 227, in
num_layers)
File "D:\Workspaces\Eclipse\PythonLearn1\src\seq2seq_init_.py", line 189, in seq2seq_model
decoder_input)
File "D:\Workspaces\Eclipse\PythonLearn1\sr
AtrCheema
commented
Dec 17, 2019
Can you describe what modifications need to be done if I want to replace dynamic_rnn with tf.keras.RNN in many-to-one example as dynamic_rnn is deprecated now.
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
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Mar 14, 2020 - Jupyter Notebook
TensorFlow Tutorials
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Mar 23, 2020 - Jupyter Notebook
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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frankrao
commented
Feb 11, 2019
There is an SRU implementation in tensorflow: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/rnn/python/ops/rnn_cell.py#L2735
I tried it but found it as fast as GRUCell.
Does anyone know why? or are there any good SRU implementation in tensorflow？
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.
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Jun 11, 2020 - Python
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
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Nov 17, 2019 - Python
Handwriting Synthesis with RNNs ✏️
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Feb 20, 2020 - Python
Top 200 deep learning Github repositories sorted by the number of stars.
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Feb 2, 2020 - Python
Text classifier for Hierarchical Attention Networks for Document Classification
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Sep 12, 2019 - Python
Text Classification Algorithms: A Survey
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Jun 15, 2020 - Python
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
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Keras Temporal Convolutional Network.
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Handwritten Text Recognition (HTR) system implemented with TensorFlow.
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May 7, 2020 - Python
TensorFlow and Deep Learning Tutorials
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Visualizing RNNs using the attention mechanism
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Jun 25, 2019 - Python
Machine Learning on Sequential Data Using a Recurrent Weighted Average
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Feb 24, 2020 - Python
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ZVK
commented
Apr 3, 2017
Though you haven't yet done an extensive hyperparameter search, might you give us one or two examples of hyperparameter settings you have used?
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
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Apr 18, 2017 - Python
Named Entity Recognition using multilayered bidirectional LSTM
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Mar 10, 2019 - Python
Deep Reinforcement Learning based Trading Agent for Bitcoin
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Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
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Feb 2, 2020 - Python
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
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Jul 12, 2018 - Python
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
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Jan 9, 2020 - Python
Char-RNN implemented using TensorFlow.
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Mar 29, 2018 - Python
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tfzxyinhao
commented
Feb 21, 2017
The latest version tensorflow is 1.0.0
rnn_cell was moved to tensorflow.contrib
i am beginner for tensorflow,can you update exmaple to the latest version of tensorflow ?
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Is there an overview, how the config object for the constructors of the neural network are defined?
This would be interesting:
Thank you for the great work with this library, it is realy amazing!