If you’re new to the field of artificial intelligence (AI), Python is an excellent language to begin with because it serves as the foundation for many AI tools and libraries. Deep learning, a method for making predictions based on data, heavily depends on neural networks. This blog will show you through the process of constructing a neural network from the ground up.

In practical applications, rather than creating neural networks from scratch, you would typically utilize deep learning frameworks like TensorFlow or PyTorch. Nevertheless, understanding the inner workings of neural networks can be advantageous as it allows you to design more effective architectures for your deep learning models.