Deep Learning is a subset of Machine Learning, which tries to mimic the way information is processed by the Human Brain.
Here is the link to the Part-1 article on Deep Learning:
Introduction to Deep Learning – Part 1
Enjoy 🙂 !!!
One thought on “Introduction to Deep Learning – Part 1”
Comments are closed.
Outstanding. Cannot wait for the rest.
One question in this section: –
“Given that a single perceptron behaves like a simple linear classifier, it would not be able to properly classify the above dataset. This implies we will need multiple perceptrons to handle the above dataset.
As indicated earlier, a perceptron is an artificial equivalent of a neuron in the human brain. We know the human brain is a complex network of neurons. So, how does one create an equvalent network of perceptrons ???
One could connect a series of perceptrons (in layers) starting from the input till the output as shown in the illustration below:”
Why a series of perceptrons? Why in layers?