For newbies, deep learning may be a difficult and intimidating area. As you strive to master deep learning concepts, you’ll come across terms like hidden layers, convolutional neural networks, and backpropagation.
It’s not simple - especially if you adopt an ad hoc approach to studying and don’t go over the fundamentals first. You’ll be lost in a new city like a visitor who hasn’t brought a map!
To study and master deep learning, you don’t need a Ph.D. or an advanced degree. However, there are a few important ideas you need to understand (and be well-versed in) before diving into the realm of deep learning.
The following are the five prerequisites for embarking on your deep learning journey:
- Putting your system together
- Python programming
- Probability and Statistics
- Linear Algebra and Calculus
- The Basics of Machine Learning
This will help you get started. To be master in it you need you to practice a lot. There are lots of online courses, free videos on youtube you can find them & get the required knowledge from the same.