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Readings
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| A Few Useful Things to Know about Machine Learning |
the whole paper is a warmly recommended reading |
| Recognizing and Learning Object Categories |
a short course of object categorization at ICCV 2005 |
| Convex Optimization |
stanford convex optimization |
| Vectorized Backpropagation |
Vector, Matrix, and Tensor Derivatives |
| deeplearning net tutorial with theano |
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| ConvNetJS |
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| What Every Computer Scientist Should Know About Floating-Point Arithmetic |
numerical issues |
| Ilya Sutskever's thesis |
Nesterov Momentum |
| Bayesian Hyperparameter Optimization |
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| Model Ensembles Dark Knowledge from Geoff Hinton |
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| SGD tips and tricks |
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| local response normalization layer |
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| Net Surgery |
apply ConvNet sliding windowns over the large-image but at a smaller stride |
| Deep Learning school |
train a ConvNet from scratch |
| ImageNet ILSVRC challenge |
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| ResNet Video |
Kaiming's presentation video |
| ResNet Slides |
Kaiming's presentation slides |
| benchmarks for CONV performance |
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| State of the art ResNets in Torch7 |
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| ConvNetJS CIFAR-10 demo |
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