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relu
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1 year ago | |
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| LICENSE | 1 year ago | |
| README.md | 1 year ago | |
| config.py | 1 year ago | |
| conv_lstm.py | 1 year ago | |
| label.png | 1 year ago | |
| loss.png | 1 year ago | |
| main.py | 1 year ago | |
| network.py | 1 year ago | |
| result.png | 1 year ago | |
| rnn.py | 1 year ago | |
| visualization.py | 1 year ago | |
README.md
ConvLSTM-Moving-mnist
Using convlstm to prediction moving mnist dataset.
run main.py for train
1、network structure
使用其中一个序列，迭代训练，收敛。 前10帧--第11帧，...，第10-19帧预测第20帧。
输入mnist序列 三层conv 一层BasicConvLstmCel 三层conv flatten
（1，10，64，64，1） （1，10，64，64，16）（1，1，64，64，1024） （1，1，64，64，1）
2、result
3、loss curve
