Updated Code for Saving and Loading Models in trainmodel.ipynb#2
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Itsmesrinu wants to merge 3 commits intokumarvivek9088:mainfrom
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Updated Code for Saving and Loading Models in trainmodel.ipynb#2Itsmesrinu wants to merge 3 commits intokumarvivek9088:mainfrom
Itsmesrinu wants to merge 3 commits intokumarvivek9088:mainfrom
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Itsmesrinu
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Updated the code to save and load models using the .keras format for improved compatibility with the latest TensorFlow and Keras versions. |
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Explanation of the Changes
model.save("emotiondetector.keras"): This saves the model in the .keras format, which includes the full model configuration, weights, optimizer state, and training configuration.
load_model("emotiondetector.keras"): This loads the model from the .keras file, simplifying the loading process without needing to separately handle JSON and weights.
Why Update to .keras Format?
Future Compatibility: The .keras format is the current standard for saving models in TensorFlow/Keras, ensuring better support and compatibility with new features.
Simplicity: Storing the full model in one file eliminates the need to manage separate files for the model architecture and weights.
Recommended by TensorFlow: The .keras format is preferred in recent versions of TensorFlow and Keras for better integration and ease of use.