Coding a neural network in Python allows you to create a program that “learns” adaptively, continuously adjusting parameters until the correct output is produced for a given input.

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron. A neural network with no hidden layers is called a perceptron. In the training_version.py I train the ...

After training, the neural network will be tested on the provided test data, and the outputs and softmax probabilities will be shown. This is done using the forward method from the Network class. The ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.