Deep learning is an artificial learning function that works the same as the human brain. It processes the data and creates patterns that allow making decisions based on the created patterns and gathering data. Deep learning is considered a part of machine learning that consists of the networks that allow unsupervised learning from unstructured or the unlabeled data. Deep learning is commonly known as deep neural learning. It has uses in areas like fraud detection, money laundering, and more.
Deep learning or hierarchical learning is a part of wide machine learning and is based on the layers used in any artificial neural network. Deep learning can be supervised, semi-supervised, or unsupervised. It depends on how one grasps the logic and basics to get started. Deep learning is based on functions and algorithms that allow solving complex problems efficiently.
Getting started with the basics will take around 4-6 weeks. However, if one wants a strong knowledge of deep learning, it may take around 26 weeks.
It is highly recommended to learn the concepts of machine learning first. Machine learning will allow understanding the algorithms working and how they help the machines process the data and make predictions.
Machine learning is based on the maths fundamentals, AI works on more rigorous maths like statistics, and deep learning is based on machine learning methods. ML only includes one layer of calculation, but deep learning processes the previous layer's results to predict the result. Thus machine learning has to be the first choice.
You can go for either online courses or the text references for deep learning content from beginner to the advanced level. Before starting, you should have basic maths knowledge like- linear algebra, statistics, and calculus. If you are a beginner, then you can go to Andrew Ng's maths training. Below are some courses that you can consider sites like hackr.io, Coursera, Udacity, and more.
Learn the required tools for deep learning and practice codes to produce data.