How to save keras models?
This recipe helps you save keras models
Recipe Objective
How to save a Keras Model. To Learn How to Save model, We will create a sample model, then we will save it.
Step 1- Import Libraries.
from keras.models import Sequential
from keras.layers import Dense
from keras.models import model_from_json
import numpy
Step 2- Creating Neural Network Model.
We will create neural network model with necessary parameters and compile it.
# create model
model = Sequential()
model.add(Dense(12, input_dim=8, activation='relu'))
model.add(Dense(8, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
# Compile model
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
Step 3- Save the model.
Before saving your Model do not forget to create an empty folder in your local system or google drive.
model.save('your_location')
Step 4- Converting to JSON
We can convert our model to a JSON file as well.
model_json = model.to_json()
Step 5- Saving our Weights.
model.save_weights("model.h5")
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