All Questions
3 questions
8
votes
2
answers
9k
views
What is the different between Fine-tuning and Transfer-learning?
Usually the neural network training has at least 2 steps:
first trained on a large set of some standard data (ImageNet, ...)
and then the resulting weights are trained on a small set of my data (in ...
5
votes
1
answer
398
views
What is the fully-convolutional model?
What is the fully-convolutional model?
Is fully-convolutional model a model that has only convolutional layers (with Batch-norm and Activation) and has not any: max-pool, fully-connected, and other ...
2
votes
2
answers
2k
views
Why do we need for Shortcut Connections to build Residual Networks?
Why do we need for Shortcut Connections to build Residual Networks, and how it help to train neural networks for classification and detection?