Neural networks and deep learning use networks of neurons that can learn from large amounts of data. A basic neuron receives multiple inputs which it multiplies by weights and combines to produce an output. Neural networks contain many interconnected neurons arranged in layers that can learn increasingly complex patterns from data. Deep learning uses neural networks with many hidden layers to perform tasks like image recognition by learning from large datasets.

1. AI Club

2. AI Club
What Are Neural
Networks and Deep
Learning?

3. What is a
Neuron? Does some
math
Input 1
Input 2
Input 3
Weight
1
Weight
2
Weight
3
Output

4. Why is it
called a
Neuron? Does some
math
Input 1
Input 2
Input 3
Weight
1
Weight
2
Weight
3
Output

5. What does it
do?
Does some
math
Input 1
Input 2
Input 3
Weight
1
Weight
2
Weight
3
Output
Simple example
Output = Input1 * Weight 1 + Input 2 * Weight 2
+ Input 3 * Weight3
Usually a bit more complicated in real life

6. What is a
neural
network?
What is a neural Network?

7. What is a
neural
network?
What is a neural Network?
Real life Neural Networks can
have hundreds of hidden layers
and 1000s of neurons per layer,
or more!

8. Lots of
different
types
(patterns)!

9. What is Deep
Learning?
A type of AI
Uses Neural Networks
Called Deep because of
“depth” of the layers
Great for images,
sound, videos,
reading books, etc.

10. THANK YOU
https://aiclub.world
info@pyxeda.ai