Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about **How to load a model from an HDF5 file in Keras** **in Python**. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

## How to load a model from an HDF5 file in Keras?

**How to load a model from an HDF5 file in Keras?**If you stored the complete model, not only the weights, in the HDF5 file, then it is as simple as

`from keras.models import load_model model = load_model('model.h5')`

**load a model from an HDF5 file in Keras**If you stored the complete model, not only the weights, in the HDF5 file, then it is as simple as

`from keras.models import load_model model = load_model('model.h5')`

## Method 1

`load_weights`

only sets the weights of your network. You still need to define its architecture before calling `load_weights`

:

def create_model(): model = Sequential() model.add(Dense(64, input_dim=14, init='uniform')) model.add(LeakyReLU(alpha=0.3)) model.add(BatchNormalization(epsilon=1e-06, mode=0, momentum=0.9, weights=None)) model.add(Dropout(0.5)) model.add(Dense(64, init='uniform')) model.add(LeakyReLU(alpha=0.3)) model.add(BatchNormalization(epsilon=1e-06, mode=0, momentum=0.9, weights=None)) model.add(Dropout(0.5)) model.add(Dense(2, init='uniform')) model.add(Activation('softmax')) return model def train(): model = create_model() sgd = SGD(lr=0.1, decay=1e-6, momentum=0.9, nesterov=True) model.compile(loss='binary_crossentropy', optimizer=sgd) checkpointer = ModelCheckpoint(filepath="/tmp/weights.hdf5", verbose=1, save_best_only=True) model.fit(X_train, y_train, nb_epoch=20, batch_size=16, show_accuracy=True, validation_split=0.2, verbose=2, callbacks=[checkpointer]) def load_trained_model(weights_path): model = create_model() model.load_weights(weights_path)

## Method 2

If you stored the complete model, not only the weights, in the HDF5 file, then it is as simple as

from keras.models import load_model model = load_model('model.h5')

**Summery**

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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