Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
MobileNet
一、网络修剪
网络修剪，采用当网络权重非 …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Modules in torch.nn are internal implemented based on torch.nn.functional.
Modules in torch.nn are easier to use while torch.nn.functional is more flexible.
It is recommended to …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
The difference betwen Log Softmax and Softmax should be understood together with the loss function.
https://discuss.pytorch.org/t/what-is-the-difference-between-log-softmax-and-softmax/11801
https://discuss.pytorch.org/t/logsoftmax-vs-softmax/21386
https …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
torchvision has implementation of popular deep learning models for computer vision.
ResNet-50 is a 50-layer Residual Neural Network.
ResNet-101 is a 101-layer Residual Neural Network.
ResNet-152 …
** Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
** Please refer to the Interpretations section of the wiki page Deep Learning.
https://github.com/slundberg/shap#methods-unified-by-shap
https://arxiv.org/pdf/1802.03888.pdf
https://github.com/slundberg/shap
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
http://www.legendu.net/misc/blog/use-xgboost-with-spark/
http://www.legendu.net/misc/blog/use-lightgbm-with-spark/
You can run Apache Ray on top of Spark via analytics-zoo …