Deep-Learning

What is deep learning?
Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers.
These neural networks attempt to simulate the behavior of the human brain.

How does deep learning work?
Deep learning networks learn by discovering intricate structures in the data they experience.
By building computational models that are composed of multiple processing layers, the networks can create multiple levels of abstraction to represent the data.

Why is deep learning used?
Deep learning makes it faster and easier to interpret large amounts of data and form them into meaningful information.
It is used in multiple industries, including automatic driving and medical devices.

Why Python is used for deep learning?
Simplicity and Consistency
Python offers readable and concise codes.
Since machine learning and artificial intelligence involve complex algorithms.
The simplicity of Python adds value and enables the creation of reliable systems.