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Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))

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Possible dims mistmatch in Time GAN

Dear all, In the **TimeGAN** implementation you define the reconstruction loss as: https://github.com/firmai/tsgan/blob/a39f211b50a8183160c38474841a403b8a56f442/alg/timegan/tgan.py#L233 ```python E_loss_T0 = tf.losses.mean_squared_error(X, X_tilde) ``` Where X must have dims `[BATCH, SEQ_LEN, INPUT_SIZE]` and so `X_tilde`...

FrancescoSaverioZuppichini avatar FrancescoSaverioZuppichini

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Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))

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