Keras is a high level API for neural networks in python. HDF5 is a high performance file format used for fast I/O processing and storage of big data, making it suitable for machine learning models. Saving a Keras model to an HDF5 preserves the architecture, optimizer state, and weights of the model, while loading a Keras model from an HDF5 file creates a new Keras model with the architecture, optimizer state, and weights stored in the model.
Solution for How to save and load Keras models from HDF5 files : You can use keras.models.load_model() to load a Keras model from an HDF5 file Use keras.models.save(“path/to/model.h5”) to save keras.models to a new file at path/to/model.h5.
Use keras.models.load_model(“path/to/model.h5”) to load the Keras model stored at path/to/my_model.h5.