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AI Club
AI Club
Introduction to Image
Classification & Deep
Learning
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
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
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
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!
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
THANK YOU
https://aiclub.world
info@pyxeda.ai

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Introduction to deep learning image classification

  • 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