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Unsupervised Deep Architechtures in R
Variational autoencoder tutorial gives the following error when it's run: ~~~r stop(structure(list(message = "TypeError: in user code:\n\n File \"/home/david/.local/share/r-miniconda/envs/r-reticulate/lib/python3.8/site-packages/keras/engine/training.py\", line 1021, in train_function *\n return step_function(self, iterator)\n File \"/home/david/.local/share/r-miniconda/envs/r-reticulate/lib/python3.8/site-packages/keras/engine/training.py\", line...
ValueError when calling evaluate_... in a clean conda+TF 1.14 installation
``` ValueError: Output of generator should be a tuple `(x, y, sample_weight)` or `(x, y)`. Found: [array([[0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1,...
``` LookupError: No gradient defined for operation 'loss_186/activation_281_loss/loop_body/gradients/activation_278/Softsign_grad/SoftsignGrad/pfor/SoftsignGrad' (op type: SoftsignGrad) ```