Deep learning tutorial

• Basic
• Caffe
• Tensorflow
• Pytorch

• install python
• $ pip install jupyter
• $ git clone https://github.com/pedrodiamel/nettutorial.git nettutorial
• $ cd nettutorial
• $ jupyter notebook

• backpropagation (ibackprop.ipynb)
• linal regression (ilinear_regression.ipynb)
• caffe layer customizer (icaffelayer.ipynb)
• tensorflow
• pytorch

• 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

• 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/

• https://github.com/chiphuyen/stanford-tensorflow-tutorials
• https://www.youtube.com/playlist?list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ

• https://github.com/ritchieng/the-incredible-pytorch
• https://github.com/bharathgs/Awesome-pytorch-list