Neural Networks

Often neural networks and deep learning are terms that are used interchangeably. They do not mean the same thing, however, so let's learn the difference.

As mentioned before, deep learning is an approach that follows the same principle as machine learning, but does so with more accuracy and efficiency. Deep learning systems make use of artificial neural networks, which are computing models on their own. So, basically, neural networks are a part of the deep learning approach but are not the deep learning approach on their own. They are frameworks that are incorporated by deep learning methods.

Fig 3.2: Neural Networks as a part of the deep learning Approach

Artificial neural networks are based on a framework inspired by the biological neural networks found in the human brain. These neural networks are made of nodes that enable the networks to learn from images, text, real-life objects, and other things, to be able to execute tasks and predict things accuracy...