- 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.
Ad
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.
Subscribe to:
Post Comments (Atom)
Regularization in Machine Learning, Deep Learning
Regularization can prevent overfitting and potentially make algorithm converge faster and more performant. Useful in deep learning tasks, in...
-
In this downtown startup work space design the designers used fat boy bean bags and an extra wide step tiered staircase to create work space... -
Can hack schools solve Silicon Valley's talent crunch? The truth about coding bootcamps and the students left behind http://t.co/xXNfqN...
-
This review is updated continuously throughout the program. Yay I just joined the Udacity Nanodegree for Digital Marketing! I am such an Uda...
Great Article
ReplyDeleteDeep Learning Final Year Projects for CSE Project Centers in Chennai
JavaScript Training in Chennai
JavaScript Training in Chennai