What is TensorFlow Keras and how do I use it?

What is TensorFlow Keras and how do I use it?

TensorFlow Keras is a high-level API for building and training deep learning models. It simplifies the process of creating neural networks.

Can you give me an example of a simple neural network using Keras?

Sure! Here's a simple example:

from tensorflow import keras
from tensorflow.keras import layers

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

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

What kind of data can I use with Keras?

You can use various types of data, including images, text, and tabular data. Keras supports multiple data formats.

How do I evaluate the performance of my model?

You can evaluate your model using the model.evaluate() method, which returns the loss and metrics you specified during compilation.