python-tensorflowHow can I use Python, TensorFlow, and Keras to create an example project?

To create an example project using Python, TensorFlow, and Keras, the following steps can be followed:

1. Install Python, TensorFlow, and Keras.
2. Import the necessary libraries, such as NumPy, Matplotlib, and TensorFlow.

   import numpy as np
   import matplotlib.pyplot as plt
   import tensorflow as tf

3. Build the model using the Keras API.

   model = tf.keras.Sequential([
   tf.keras.layers.Flatten(input_shape=(28, 28)),
   tf.keras.layers.Dense(128, activation='relu'),
   tf.keras.layers.Dense(10, activation='softmax')
   ])

4. Compile the model.

   model.compile(optimizer='adam',
             loss='sparse_categorical_crossentropy',
             metrics=['accuracy'])

5. Train the model.

   model.fit(x_train, y_train, epochs=5)

6. Evaluate the model.

   test_loss, test_acc = model.evaluate(x_test,  y_test, verbose=2)
   print('\nTest accuracy:', test_acc)

7. Make predictions using the model.

   predictions = model.predict(x_test)

Helpful links

• Python
• TensorFlow
• Keras
• NumPy
• Matplotlib

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