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GitHub / carlthome/tensorflow-convlstm-cell issues and pull requests

#36 - ConvLSTM in tensorflow 2.8

Issue - State: open - Opened by 108618026 about 3 years ago

#35 - How to change this class to Keras Layer?

Issue - State: open - Opened by smoein almost 5 years ago - 1 comment

#34 - About video prediction

Issue - State: open - Opened by nameless-mqc almost 5 years ago
Labels: help wanted

#33 - Incorrect recurrent initialization leads to exploding gradients

Issue - State: open - Opened by JohnMBrandt over 5 years ago - 2 comments

#32 - Training and using the model for video object detection

Issue - State: open - Opened by spaul13 about 6 years ago

#31 - Format according to PEP8 guidelines

Pull Request - State: closed - Opened by JustinShenk over 6 years ago

#30 - About padding before each time step

Issue - State: closed - Opened by PeiYingjun almost 7 years ago - 1 comment

#29 - how to obtain intermediate state in ConvLSTMCell?

Issue - State: open - Opened by dongzhuoyao about 7 years ago

#28 - Update cell.py for the problem when data_format='channels_first'

Pull Request - State: open - Opened by MissLikeWind over 7 years ago - 4 comments

#27 - TypeError: 'Tensor' object is not iterable.

Issue - State: closed - Opened by shamitlal over 7 years ago - 6 comments

#26 - get the prediction result?

Issue - State: closed - Opened by miaoqinghua over 7 years ago - 2 comments

#25 - a question

Issue - State: closed - Opened by wushilian over 7 years ago - 1 comment

#24 - Error when used for decoding

Issue - State: closed - Opened by quanlzheng over 7 years ago - 3 comments

#23 - Compare ConvGRU and ConvLSTM

Issue - State: open - Opened by carlthome over 7 years ago
Labels: help wanted, question

#22 - Evaluate layernorm importance

Issue - State: open - Opened by carlthome over 7 years ago - 1 comment
Labels: help wanted, question

#21 - Evaluate peephole importance

Issue - State: open - Opened by carlthome over 7 years ago
Labels: help wanted, question

#20 - how can i train it?

Issue - State: closed - Opened by liangzhenlin123 over 7 years ago - 1 comment

#19 - Working with varying cell-state sizes

Issue - State: open - Opened by anjany about 8 years ago - 6 comments

#18 - ConvLSTMCell

Issue - State: closed - Opened by gxdai about 8 years ago - 2 comments

#17 - super() problem

Issue - State: closed - Opened by gxdai about 8 years ago - 1 comment

#16 - Issue while implementing sample code

Issue - State: closed - Opened by gaganacharya1995 about 8 years ago - 1 comment

#15 - Incompatible with tensorflow 1.1

Issue - State: closed - Opened by boyurmit about 8 years ago - 1 comment

#14 - Make placeholder time major for RNN.

Issue - State: closed - Opened by speedinghzl about 8 years ago - 1 comment

#13 - strides bigger than 1?

Issue - State: closed - Opened by leesunfreshing about 8 years ago - 2 comments

#12 - Usage of ConvGRU

Issue - State: closed - Opened by leesunfreshing about 8 years ago - 4 comments

#11 - Faulty implementation of LSTM

Issue - State: closed - Opened by berkcoker about 8 years ago - 4 comments
Labels: invalid

#10 - tf.nn.dynamic_rnn

Issue - State: closed - Opened by kikyou123 over 8 years ago - 1 comment

#9 - RNNCell not found on contrib rnn package.

Issue - State: closed - Opened by monkeybutter over 8 years ago - 5 comments

#8 - Does NOT work on Windows 98

Issue - State: closed - Opened by msvbg over 8 years ago - 1 comment

#7 - Add GRU option to keep memory requirements under control for deeper networks

Issue - State: closed - Opened by carlthome over 8 years ago - 1 comment

#6 - Maybe remove recurrent batch normalization

Issue - State: closed - Opened by carlthome over 8 years ago - 2 comments
Labels: help wanted

#4 - Don't flatten and expand on each cell.__call__

Issue - State: closed - Opened by carlthome over 8 years ago - 11 comments

#3 - Add batch normalization

Issue - State: closed - Opened by carlthome over 8 years ago - 1 comment

#2 - Add zero padding around concatenated weight matrices

Issue - State: closed - Opened by carlthome over 8 years ago - 1 comment

#1 - Don't assume input dimensionality == num_filters

Issue - State: closed - Opened by carlthome over 8 years ago - 1 comment