How can I integrate TensorFlow with Keras for my deep learning project?

How can I integrate TensorFlow with Keras for my deep learning project?

You can integrate TensorFlow with Keras by using the tf.keras module. This allows you to build and train models easily.

What are the benefits of using Keras with TensorFlow?

Keras provides a user-friendly API, making it easier to build complex models, while TensorFlow offers powerful backend support.

Can you show me a simple example of a model using TensorFlow and Keras?

Sure! Here's a simple example:

import tensorflow as tf
from tensorflow import keras

model = keras.Sequential([
    keras.layers.Dense(64, activation='relu', input_shape=(32,)),
    keras.layers.Dense(10, activation='softmax')
])

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