An AI Engineer's Guide to Machine Learning with Keras

An AI Engineer's Guide to Machine Learning with Keras

Prodramp via YouTube Direct link

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14 of 25

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An AI Engineer's Guide to Machine Learning with Keras

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  1. 1 video start
  2. 2 Content intro
  3. 3 Google Colab and notebook Intro
  4. 4 05:26 1st Notebook model with only training data
  5. 5 Data Import
  6. 6 EDA Exploratory Data Analysis
  7. 7 Data Split Train and Target
  8. 8 Training data Transformation
  9. 9 Train and Test Data Split
  10. 10 Setup model network and layers
  11. 11 Network Visualization
  12. 12 Callback function to plot loss per epoch
  13. 13 Compile Model
  14. 14 Start Model Training
  15. 15 Callback function to plot loss & accuracy per epoch
  16. 16 Check model loss and accuracy in real time
  17. 17 Validate Model History
  18. 18 Check Model Performance
  19. 19 27:17 2nd Notebook model with training & validation data
  20. 20 Training data split into Train & Validation data
  21. 21 Compile Model & start Model Training
  22. 22 Check model loss and accuracy with validation in real time
  23. 23 Check Model Performance
  24. 24 Saving colab notebook to Github
  25. 25 Credits

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