Neural Networks Vs. Deep Learning Networks: Battle Of The Learning Machines

Neural networks have been around for decades, while deep learning networks are a more recent development. Neural networks are made up of interconnected layers of neurons, each of which can learn to recognize patterns in data. Deep learning networks are based on neural networks, but are more sophisticated and can learn complex tasks. Deep learning has been used to create powerful applications such as facial recognition, autonomous vehicles, and natural language processing.