python-kerasHow can I use Python, Keras, and TensorFlow to develop a machine learning model?

Using Python, Keras, and TensorFlow to develop a machine learning model is relatively straightforward. The following example code block shows how to create a simple model using these libraries:

# Import libraries
import tensorflow as tf
from tensorflow import keras

# Create a Sequential model
model = keras.Sequential([
    keras.layers.Dense(units=1, input_shape=[1])
])

# Compile the model
model.compile(optimizer='sgd', loss='mean_squared_error')

Code explanation

1. Import the necessary libraries: import tensorflow as tf and from tensorflow import keras.
2. Create a Sequential model using keras.Sequential and add the desired layers. In this example, a single Dense layer is used with one unit and an input shape of one.
3. Compile the model using model.compile and specifying the optimizer and loss function. In this example, sgd is used as the optimizer and mean_squared_error as the loss function.

For more information, please refer to the following links:

• Getting Started with TensorFlow
• Keras Documentation
• TensorFlow Documentation

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