how to create a neural network
list the requirements
Answers
Answer:
We have all heard about deep learning before. It has become very popular among data science practitioners and it is now used in a variety of settings, thanks to recent advances in computation capacity, data availability and algorithms.
But what exactly is deep learning?
Simply, deep learning refers to training a neural network.
Now, what is a neural network?
Well, it is simply a function that fits some data. In its simplest form, there is a single function fitting some data as shown below. This structure is called a neuron.
Schematic of a neuron
The function can be anything: a linear function or a sigmoid function. Of course, a single neuron has no advantage over a traditional machine learning algorithm.
Therefore, a neural network combines multiples neurons. Think of neurons as the building blocks of a neural network. By stacking them, you can build a neural network as below:
Schematic of a neural network
Notice above how each input is fed to each neuron. The neural network will figure out by itself which function fits best the data. All you need to provide are the inputs and the output.