jsikyoon / Sequentialdata Gan
Licence: mit
Tensorflow Implementation of GAN modeling for sequential data
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Sequential Data GAN
This module is to generate sequential data with GAN implemented by LSTM.
The basic structure is followed ckmarkoh's git https://github.com/ckmarkoh/GAN-tensorflow
Used Data
For making sequential data, MNIST 0-3 data are used (0->1->2->3).
Modeling
Each modules, genrator and discreminator are designed with 2 layer LSTM and 1 layer Fully Connected Network. Generator is designed as one-to-many model, which get one random vector as input, and generates sequential images. Discriminator is designed as many-to-one model, which get sequential images, and decides that is real or fake ones.
Results
Epoch 10
Epoch 30
Epoch 50
Epoch 400
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