Mi Primera Red Neuronal con Tensorflow

Importar la biblioteca:

import tensorflow as tf

Importar el modelo:

from tensorflow import keras

Cargar conjunto de datos de Tensor Flow:

fashion_mnist = keras.datasets.fashion_mnist (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()

Crear modelo secuencial:

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

Compilación del modelo:

model.compile(optimizer = tf.optimizers.Adam(),loss = 'sparse_categorical_crossentropy', metrics = ['accuracy'])

Entrenamiento:

model.fit(train_images, train_labels, epochs = 5)

Evaluación del modelo:

test_loss, test_acc = model.evaluate(test_images, test_labels)

Predicción del modelo:

model.predict(test_images)