User Profile

Hi, I've been going over this tutorial of autoencoders https://www.tensorflow.org/tutorials/generative/autoencoder#third_example_anomaly_detection Notebook link https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/generative/autoencoder.ipynb And when I downloaded and ran the notebook locally on my M2 Pro Max - the results were dramatically different and the plots were way off. This is the plot in the working notebook: This is the local plot: I checked every moving piece and the difference seems to be in the output of the autoencoder, these lines: encoded_data = autoencoder.encoder(normal_test_data).numpy() decoded_data = autoencoder.decoder(encoded_data).numpy() The working notebook output is: The local output: And the overall result is notebook: Accuracy = 0.944 Precision = 0.9941176470588236 Recall = 0.9053571428571429 local: Accuracy = 0.44 Precision = 0.0 Recall = 0.0 I'm using Mac M2 Pro Max Python 3.10.12 Tensorflow 2.14.0 Can anyone help? Thanks a lot in advance.