Welcome to the definitive guide to Deep Learning, because you clearly need more AI in your life. We're here to help you understand the basics of Neural Networks, because let's be real, you've been struggling with this stuff for far too long.
Here's a simple example of how to use a Neural Network to predict the best pizza topping:
import pandas as pd
from sklearn.neural_network import NeuralNetwork
nn = NeuralNetwork()
nn.add_layer(10, activation="relu")
nn.add_layer(20, activation="tanh")
nn.compile()
nn.fit(pd.read_csv("pizzas.csv"))
nn.save("best_toppings.h5")
And voilĂ ! You now have a Neural Network that can predict the perfect pizza topping combination. Just don't blame us when you order 10 pounds of anchovies.
See more examples Learn about different types of Neural Networks