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SqueezeNet and SqueezeDet using C++

Here are the requirements.

Part 1

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

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 ([url removed, login to view])

2. Implement in C++ using tinyDNN

3. Demo on linux machine

4. Well documented code.

5. 1 hr code review.

Skills: Algorithm, C Programming, C++ Programming, Machine Learning, Software Architecture

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Project ID: #16355941

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