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If the model isn't learning, there is a decent chance that your backpropagation is not working. You have to check that your code is free of bugs before you can tune network performance! I agree with your analysis. Styling contours by colour and by line thickness in QGIS. Might be an interesting experiment. Is this drop in training accuracy due to a statistical or programming error? The safest way of standardizing packages is to use a requirements.txt file that outlines all your packages just like on your training system setup, down to the keras==2.1.5 version numbers. Two parts of regularization are in conflict. In the context of recent research studying the difficulty of training in the presence of non-convex training criteria Is there a proper earth ground point in this switch box? \alpha(t + 1) = \frac{\alpha(0)}{1 + \frac{t}{m}} Here's an example of a question where the problem appears to be one of model configuration or hyperparameter choice, but actually the problem was a subtle bug in how gradients were computed. For cripes' sake, get a real IDE such as PyCharm or VisualStudio Code and create a well-structured code, rather than cooking up a Notebook! Learning . 1 2 . How can this new ban on drag possibly be considered constitutional? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. As an example, imagine you're using an LSTM to make predictions from time-series data. Styling contours by colour and by line thickness in QGIS. Why zero amount transaction outputs are kept in Bitcoin Core chainstate database? Why does Mister Mxyzptlk need to have a weakness in the comics? In all other cases, the optimization problem is non-convex, and non-convex optimization is hard. The Marginal Value of Adaptive Gradient Methods in Machine Learning, Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. Not the answer you're looking for? loss/val_loss are decreasing but accuracies are the same in LSTM! The posted answers are great, and I wanted to add a few "Sanity Checks" which have greatly helped me in the past. Is it correct to use "the" before "materials used in making buildings are"? Try to adjust the parameters $\mathbf W$ and $\mathbf b$ to minimize this loss function.