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Tensorflow for Social Good - Tutorial

2022.09.26, Zhixun “Jason” He

  1. Training (Numpy): https://colab.research.google.com/drive/1NHDXuXeoTwzpLVcS5c28Ere65humpaHT?usp=sharing
  1. Training (Tensorflow): https://colab.research.google.com/drive/13zv5BQmCbDqyD3BZlWAHCVouCR1YLu5V?usp=sharing
  1. Real Tensorflow Example: https://colab.research.google.com/drive/1WXxdPbBZtAVqNfp0VVFuoDtGoCvRxzTF?usp=sharing
  1. Useful resources:
    1. Online class:
      1. Andrew Ng: Deep Learning https://www.coursera.org/specializations/deep-learning, or youtube.com (all videos of the same course available on Youtube)
    1. Blog with implementation codes:
      1. One of the best blogs explaining machine learning topics with codes, super beginner friendly: https://machinelearningmastery.com/blog/
    1. Search:
      1. google.com
      1. stackoverflow.com
    1. Be patient:
      1. Debug one small issue at a time
      1. Write your question with patience and describe it nicely such that other people can help better
  1. Boos-trapping the classifier, try to make the accuracy for validation data to reach 90+% accuracy
    1. Google
    1. some github resources: https://github.com/BIGBALLON/cifar-10-cnn

TSG Session 3

2022.11.5 Zhixun “Jason” He

TSG3_1_review:

https://colab.research.google.com/drive/1p0YbSxA3690sw1YZTI-VFfss8-BDgkLr?usp=sharing

TSG3_2_tensor:

https://colab.research.google.com/drive/1CxonoMmoLZu1crYTq9OK_EeO2LrrbVAS?usp=sharing

TSG3_3_lr_scheduler:

https://colab.research.google.com/drive/11E4Nv-m3qMvqW-eLilx_tZMUyMERE2Ha?usp=sharing

TSG3_4_data_augmentation:

https://colab.research.google.com/drive/1Q87DVJ8Pl0S4_BKshiQi_WuKLQz7BUxO?usp=sharing

TSG3_5_custom_loss_and_training_step:

https://colab.research.google.com/drive/1YmtmBuoxhUQldrb_cio8sCgSl9kUwaqj?usp=sharing