The document discusses how images are used as inputs for neural networks. It explains that images need to be flattened into individual numbers before being input into the first layer. This flattening process takes a multi-dimensional array and converts it into a one-dimensional vector. An example is provided of a 2D array being flattened into a single list of numbers that can then be input to the neural network.

1. AI Club

2. AI Club
Deep Learning: Neural
Networks & Flattened
Images

3. What is a Neural
Network?

4. What is a Input Layer?

5. Input Layer of a Neural Network
AI Algorithm
Training
DATA MODEL
● Input to a neural network is the question that you want to ask the AI
Service.

6. Input Layer of a Neural Network
AI Algorithm
Training
DATA MODEL
● Input to a neural network is the question that you want to ask the AI
Service.
● In the figure above, input #1,#2,#3,#4 are individual numbers.

7. Input Layer of a Neural Network
AI Algorithm
Training
DATA MODEL
● Input to a neural network is the question that you want to ask the AI
Service.
● How do you input a image?

8. How to provide image as an input?

9. How to provide image as an input
1 0 0 0 0
0.5 1 0 0 0
0.5 0.5 1 0 0
0.5 0.5 0.5 1 00
0.5 0.5 0.5 0.5 1

10. Flattening
1 0 0 0 0
0.5 1 0 0 0
0.5 0.5 1 0 0
0.5 0.5 0.5 1 00
0.5 0.5 0.5 0.5 1
1
0
0
0
0
0.5
1
0
0
0
0.5
0.5
1
0
0
0.5
0.5
0.5
1
0
0.5
0.5
0.5
0.5
1

11. Input Layer of a Neural Network
AI Algorithm
Training
DATA MODEL
● Input to a neural network is the question that you want to ask the AI
Service.
● How do you input a image?

12. THANK YOU
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