Tensorflow Nan Loss, Learn how to effectively handle `NaN` valu

Tensorflow Nan Loss, Learn how to effectively handle `NaN` values and prevent loss issues in TensorFlow when building your artificial neural networks. python. The loss decreases and the accuracy increases for a few epochs, until the loss becomes NaN for no apparent reason and the accuracy plummets. math. I've developed a TensorFlow model for an artificial intelligence project, but I'm having a problem with NaN in the loss function during training. Replace this code: # Construct the neural network inside of TensorFlow TensorFlow does not provide a built-in nan_to_num function like PyTorch or numpy. I was running into my loss function suddenly returning a nan after it go so far into the training process. MirroredStrategy (). I'm using Google Colab. Is there someone who has the same problem? TensorFlow 2.

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