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notes-python
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09.01 introduction and installation.ipynb
09.01 introduction and installation.ipynb
09.02 theano basics.ipynb
09.02 theano basics.ipynb
09.03 gpu on windows.ipynb
09.03 gpu on windows.ipynb
09.04 graph structures.ipynb
09.04 graph structures.ipynb
09.05 configuration settings and compiling modes.ipynb
09.05 configuration settings and compiling modes.ipynb
09.06 conditions in theano.ipynb
09.06 conditions in theano.ipynb
09.07 loop with scan.ipynb
09.07 loop with scan.ipynb
09.08 linear regression.ipynb
09.08 linear regression.ipynb
09.09 logistic regression .ipynb
09.09 logistic regression .ipynb
09.10 softmax on mnist.ipynb
09.10 softmax on mnist.ipynb
09.11 net on mnist.ipynb
09.11 net on mnist.ipynb
09.12 random streams.ipynb
09.12 random streams.ipynb
09.13 modern net on mnist.ipynb
09.13 modern net on mnist.ipynb
09.14 convolutional net on mnist.ipynb
09.14 convolutional net on mnist.ipynb
09.15 tensor basics.ipynb
09.15 tensor basics.ipynb
09.16 tensor indexing.ipynb
09.16 tensor indexing.ipynb
09.17 tensor operator and elementwise operations.ipynb
09.17 tensor operator and elementwise operations.ipynb
09.18 tensor nnet .ipynb
09.18 tensor nnet .ipynb
09.19 tensor conv.ipynb
09.19 tensor conv.ipynb
apply1.png
apply1.png
apply2.png
apply2.png
apply_no_opti.png
apply_no_opti.png
apply_opti.png
apply_opti.png
download_mnist.py
download_mnist.py
load.py
load.py
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