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Title: deep-cpp/python-example/image-classification at master · bigbear2017/deep-cpp · GitHub

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Description: deep cpp package from mxnet. Contribute to bigbear2017/deep-cpp development by creating an account on GitHub.

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X Description: deep cpp package from mxnet. Contribute to bigbear2017/deep-cpp development by creating an account on GitHub.

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	https://github.com/bigbear2017/deep-cpp
deep-cpp	https://github.com/bigbear2017/deep-cpp/tree/master
python-example	https://github.com/bigbear2017/deep-cpp/tree/master/python-example
History	https://github.com/bigbear2017/deep-cpp/commits/master/python-example/image-classification
	https://github.com/bigbear2017/deep-cpp/commits/master/python-example/image-classification
deep-cpp	https://github.com/bigbear2017/deep-cpp/tree/master
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score.py	https://github.com/bigbear2017/deep-cpp/blob/master/python-example/image-classification/score.py
score.py	https://github.com/bigbear2017/deep-cpp/blob/master/python-example/image-classification/score.py
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README.md	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#readme
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#image-classification
example	http://mxnet.io/tutorials/python/predict_image.html
	https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/predict-dog.png
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#contents
Basic usages	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#basic-usages
How to prepare datasets	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#prepare-datasets
A List of pre-trained models	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#pre-trained-models
How to fine-tune a dataset with a pre-trained model	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#fine-tune-another-dataset
How to train with multiple machines	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#distributed-training
Frequently asked questions	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#faq
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#basic-usages
symbol/	https://github.com/dmlc/mxnet/tree/master/example/image-classification/symbols
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#prepare-datasets
RecordIO	http://mxnet.io/architecture/note_data_loading.html
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#pre-trained-models
common/modelzone.py	https://github.com/dmlc/mxnet/blob/master/example/image-classification/common/modelzoo.py
the tutorial	http://mxnet.io/tutorials/python/predict_image.html
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#imagenet-1k
ImageNet challenge 2012	http://www.image-net.org/challenges/LSVRC/2012/
data/imagenet1k-val.sh	https://github.com/dmlc/mxnet/blob/master/example/image-classification/data/imagenet1k-val.sh
score.py	https://github.com/dmlc/mxnet/blob/master/example/image-classification/score.py
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#single-center-crop-accuracy
tornadomeet/ResNet	https://github.com/tornadomeet/ResNet/tree/master/log
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#speed-and-memory-footprint
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#imagenet-11k
http://www.image-net.org/download-images	http://www.image-net.org/download-images
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#single-center-crop-accuracy-1
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#imagenet-11k--place365-challenge
the Place 365 challenge dataset	http://places2.csail.mit.edu/download.html
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#single-center-crop-accuracy-2
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#fine-tune-another-dataset
fine-tune.py	https://github.com/dmlc/mxnet/blob/master/example/image-classification/fine-tune.py
data/caltech256.sh	https://github.com/dmlc/mxnet/blob/master/example/image-classification/data/caltech256.sh
Caltech-256	http://www.vision.caltech.edu/Image_Datasets/Caltech256/
here	https://gist.github.com/mli/900b810258e2e0bc26fa606977a3b043#file-finetune-caltech265
python notebook	http://mxnet.io/faq/finetune.html
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#distributed-training
NFS	https://en.wikipedia.org/wiki/Network_File_System
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tutorial	http://mxnet.io/faq/multi_devices.html
blog	https://aws.amazon.com/blogs/compute/distributed-deep-learning-made-easy/
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#benchmark
Gluon vision models	https://github.com/bigbear2017/deep-cpp/blob/master/python-example/image-classification/mxnet/python/mxnet/gluon/model_zoo/model_store.py
image_classification	https://github.com/bigbear2017/deep-cpp/blob/master/python-example/image-classification/mxnet/example/gluon/image_classification.py
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#scalability-results
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AWS Deep Learning AMI	https://aws.amazon.com/marketplace/pp/B01M0AXXQB
symbol/	https://github.com/bigbear2017/deep-cpp/blob/master/python-example/image-classification/symbol
	https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/speedup-p2.png
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#convergence
Wei Wu	https://github.com/tornadomeet/ResNet/tree/master/log
	https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/dist_converge.png
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#faq
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#validation-accuracy
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#speed
faq/performance	http://mxnet.io/faq/perf.html
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#memory
	https://github.com/bigbear2017/deep-cpp/tree/master/python-example/image-classification#history
Resnet	https://github.com/tornadomeet/ResNet
	https://github.com
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