SqueezeNet and SqueezeDet using C++

Imefungwa Ilichapishwa Miaka 6 iliyopita Kulipwa wakati wa kujifungua
Imefungwa Kulipwa wakati wa kujifungua

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.

Algorithm C Programming Uprogramu C++ Machine Learning (ML) Software Architecture

Kitambulisho cha Mradi: #16355941

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super2lao

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