Model.fit() related question

[Christian_Simonis]

In addition:
@Hoang_Bui, I am not sure if you only ask about:

• when the weights are being changed
• or also about repeatability of your experiment (if so, feel free to provide a little more information)

Potentially, this thread might be interesting for you since it’s also about the initialisation. Feel free to check it out:

How different initialization of centroids of K-means results in drastic different clusters ? They all share common cost function

Hi there, please bear in mind that a training process is in general not deterministic but rather stochastic, e.g. due to: sampling from your training data (batches), resp. stochastic gradient descent dropout (where randomly Neurons are „shut off“) for regularization initialisation (if you sample from a distribution) etc. So in general in your training process there is some randomness. Dependent on your actual problem and the mechanics behind your loss function, you might encounter several l…

Best regards
Christian