Deep Learning(1)

1---What is deep learning

Deep learning is an approach to machine learning characterized by deep stacks of computations.

This in-depth computation enables deep learning models to unravel the complex and hierarchical patterns found in the most challenging real-world datasets.

The defining model of deep learning: neural network

2---The Linear Unit

To learn a neural network, we have to start with one of its components: the individual neuron.

As a diagram, a neuron (or unit) with one input looks like:

X-input

W-weight(Neural networks learn by adjusting weights)

B-bias(Enables a neuron to adjust its output independently of its input)

Y-output

This neuron's activation is y = w * x + b, or as a formula

𝑦=𝑤𝑥+𝑏