The MP neuron is mankind’s first simplified mathematical model of the neuron. This model was developed by McCulloch and Pitts in 1943. The MP neuron model is also known as the linear threshold gate model. They are widely used in proving logic functions.

Now let’s look into the model. It has 4 basic components :

- The model takes inputs (x1, x2, …., xm)
- Applies Adder function(g) and
- Takes decision in Activation function (f)
- Gives an output Y

**Characteristics of MP Neuron :**

- When MP neurons are modeled as neural networks, they are connected by directed weighted paths in a neural…

In this blog, we will try to understand the basic intuition behind the concept of deep learning by seeing how the human brain functions and what neurons do.

Neurons are cells within the nervous system that transmit information to other nerve cells, muscle, or gland cells. Most neurons have a cell body, an axon, and dendrites.

The cell body contains the nucleus and cytoplasm. The axon extends from the cell body and often gives rise to many smaller branches before ending at nerve terminals. Dendrites extend from the neuron cell body and receive messages from other neurons. …

Deep Learning involves a computation model that is composed of multiple processing layers, which learns representations of raw data by multiple levels of abstraction.

Now let’s dive deeper into the details:-

Deep Learning is a subset of artificial intelligence that imitates the working of the human brain (in the form of a neural network) in processing data and creating patterns for use in decision making.

In deep learning, we don’t need to explicitly program everything. Deep learning learns from a vast amount of unstructured data that would normally take humans decades to understand and process. …