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TensorFlow Tutorial Part2

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Image Classification using Custom Dataset
(No More MNIST!)

Published in: Engineering
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TensorFlow Tutorial Part2

  1. 1. TensorFlow tutorial Part2 Sungjoon Choi (sungjoon.choi@cpslab.snu.ac.kr)
  2. 2. Part1: TensorFlow tutorial Handling images Logistic regression Multi-layer perceptron Convolutional neural network
  3. 3. Overview 5 1. Load custom dataset 2. Define Logistic regression model 3, Define functions 4. Train the model
  4. 4. Load packages 6
  5. 5. Load custom dataset 7
  6. 6. Define Logistic regression model 8
  7. 7. Define functions 9
  8. 8. Train the model 10
  9. 9. Review 11 1. Load custom dataset 2. Define Logistic regression model 3, Define functions 4. Train the model
  10. 10. Part1: TensorFlow tutorial Handling images Logistic regression Multi-layer perceptron Convolutional neural network
  11. 11. Load packages 14
  12. 12. Load custom dataset 15
  13. 13. Define MLP model 16
  14. 14. Define functions 17
  15. 15. Train the model 18
  16. 16. Review 19 1. Load custom dataset 2. Define MLP model 3. Define functions 4. Train the model
  17. 17. Part1: TensorFlow tutorial Handling images Logistic regression Multi-layer perceptron Convolutional neural network
  18. 18. 21
  19. 19. 22
  20. 20. Load packages 23
  21. 21. Load custom dataset 24
  22. 22. Define CNN model (1/2) 25
  23. 23. Define CNN model (2/2) 26
  24. 24. Define functions 27
  25. 25. Train the model 28
  26. 26. Comparisons 29

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