SqueezeNet and SqueezeDet using C++

Here are the requirements.

Part 1

1. Implement using C++ framework "tinydnn" ([login to view URL])

2. Implement SqueezeNet. Supports 3 modes.

a) Regular

b) Compressed 8 bits

c) Compressed 6 bits

3) User Cifar-10 as training and test set.

4) Well documented code

5) Demonstrate on a linux machine for image classification

6) 1 hr of code review to be included

Part 2

Building on top of Part 1, implement object detection similar to SqueezeDet.

1. Implement object detection using squeezeDet ([login to view URL])

2. Implement in C++ using tinyDNN

3. Demo on linux machine

4. Well documented code.

5. 1 hr code review.

Taidot: Algoritmi, C-ohjelmointi, C++ -ohjelmointi, Koneoppiminen, tietojärjestelmäarkkitehtuuri

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Tietoa työnantajasta:
( 0 arvostelua ) Singapore

Projektin tunnus: #16355941

18 freelanceria on tarjonnut keskimäärin %project_bid_stats_avg_sub_26% %project_currencyDetails_sign_sub_27% tähän työhön


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$500 SGD 7 päivässä
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