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Saturday, March 9, 2019

Advanced Udacity Deep Learning Nanodegree

I have noticed that some of my classmates - Facebook Pytorch scholars, they went fast and far beyond what's required of the nanodegree. Here are some of the impressive things they did.

  • Train model from scratch rather than using a pretrained model. "Try using more convolution layers, increasing the depth, decreasing learning rate, and keep the final fc layer simple, I used only one fc layer after the convolution layers" "It depends on how many epochs to train. I just did 35 epochs. Similar to VGG."
  • How long did it take for you all to train your cnn from scratch model? GPU use. Some move the training to Google Colab. 

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