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python-kerasHow can I use Python with Keras to build a deep learning model?

Python with Keras can be used to build a deep learning model by following these steps:

  1. Import the required libraries:
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
  1. Create the model:
model = Sequential()
model.add(Dense(units=64, activation='relu', input_dim=100))
model.add(Dense(units=10, activation='softmax'))
  1. Compile the model:
  1. Train the model:
model.fit(x_train, y_train, epochs=5, batch_size=32)
  1. Evaluate the model:
loss_and_metrics = model.evaluate(x_test, y_test, batch_size=128)
  1. Make predictions with the model:
classes = model.predict(x_test, batch_size=128)
  1. Save the model:

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