The document provides an introduction to image classification and deep learning. It defines AI, machine learning, and deep learning, with deep learning using neural networks to be well-suited for tasks like image, sound, and video recognition. Image classification is described as using deep learning to categorize images into categories like cats versus dogs, and can involve more than two categories. Performance of deep learning image classification models is measured using classification accuracy metrics.

1. AI Club

2. AI Club
Introduction to Image
Classification & Deep
Learning

3. Flattening – as Needed for MLP
AI
Deep
Learning
Machine
Learning
● AI : Natural Language Processing,
Image Recognition, Anomaly Detection,
etc
● Machine Learning : Supervised,
Unsupervised, Reinforcement,
Transfer,etc
● Deep Learning: CNNs, RNNs, etc

4. 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

5. Image Classification?
• A use of Deep Learning
• Classify images in to
categories (Cat Vs Dog
etc)
• Can be more than two
categories
AI Algorithm
Training
DAT
A
MODEL
AI Algorithm
Prediction
NEW
DATA
OR
QUESTION
PREDICT
ANSWER
Dog

6. Where can I use Image Classification?
• Security - as people enter
banks etc.
• Sentiment - is a person
happy or sad?
• Self driving cars - is there
a person on the street?
• Farming - diseases in
plants
Many many more!

7. How do you measure performance of a Deep
Learning Image Classification?
● Use Normal Metrics for Classification problems : Accuracy
Accuracy = Number of correct predictions
Number of total predictions

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