Sparse_autoencoder
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ValueError found in sparseae_generic.py
Hi jadhav,
The code line "train_step = optimizer.minimize(cost, var_list=weight_list)" of the sparseae_generic.py file throws this error:
ValueError: tape
is required when a Tensor
loss is passed
Cost variable is surely a tensor. Tried working around the tape argument but unsuccessful. Your help is appreciated.