Focus On These 4 Topics To Learn Neural Networks Faster

Learn deep learning faster by cutting out unnecessary information by focusing on these four key areas in a neural network.

If you have spent any amount of time on the internet trying to learn about neural networks, you know that there are many resources at our disposal. Having so many choices can be crippling, and sadly, we cannot do anything about it. Instead, we can narrow down our focus area to get the most bang for our metaphorical buck.

Before you read any further, I am assuming that you are comfortable with programming. If not, I would suggest you learn Python or R. This should be your top priority; it will ensure that you have a solid foundation. Also, read my previous post to form a better understanding of the basic terms being used in this article.

The four main areas to focus on while learning neural networks are:

• Libraries
• Activation Function
• Error/Cost/Loss Function
• Optimisers

Now, I agree that there are other essential topics in neural networks, but these will give an excellent base to understand any concept with ease.

1. Libraries

The two most popular libraries we can use to get started with neural networks are, Tensorflow by Google and PyTorch by Facebook. These libraries make it easy…