TensorFlow Neural Networks

Build and train neural networks using TensorFlow's high-level Keras API and low-level custom implementations. This skill covers everything from simple sequential models to complex custom architectures with multiple outputs, custom layers, and advanced training techniques.

Sequential Models with Keras

The Sequential API provides the simplest way to build neural networks by stacking layers linearly.

Basic Image Classification

import tensorflow as tf
from tensorflow import keras
import numpy as np

# Load MNIST dataset
(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()

# Preprocess data