Nettutorial
Deep learning tutorial
Install
- install python
- $ pip install jupyter
- $ git clone https://github.com/pedrodiamel/nettutorial.git nettutorial
- $ cd nettutorial
- $ jupyter notebook
Tutorials
- backpropagation (ibackprop.ipynb)
- linal regression (ilinear_regression.ipynb)
- caffe layer customizer (icaffelayer.ipynb)
- tensorflow
- pytorch
Links
NeuralNet:
- http://www.deeplearningbook.org/
- https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/
- https://www.youtube.com/watch?v=GlcnxUlrtek
- http://neuralnetworksanddeeplearning.com/chap3.html
- https://www.youtube.com/watch?v=-YRB0eFxeQA&list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu&index=10
- https://www.youtube.com/watch?v=PpFTODTztsU&list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH&index=8
- https://stats.stackexchange.com/questions/235528/backpropagation-with-softmax-cross-entropy
Caffe:
- https://github.com/NVIDIA/caffe
- https://github.com/NVIDIA/caffe/tree/caffe-0.16/examples
- http://davidstutz.de/pycaffe-tools-examples-and-resources/
- http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html
- http://www.andrewjanowczyk.com/real-time-data-augmentation-using-nvidia-digits-python-layer/
Tensorflow:
- https://github.com/chiphuyen/stanford-tensorflow-tutorials
- https://www.youtube.com/playlist?list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ