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