Step by step code for understanding deep learning
Budget: $10 – $20 CAD
A step-by-step code for how image retrieval is done in deep learning.
It does not matter if you find the code on the internet or you write the code yourself.
What is important is:
1- The code must be written in jupyter notebook (only Python) with a clear and detailed explanation for each block.
2- You should not use easy networks like Lenet. VGG or Resnet is preferable. Other networks are possible but please confirm before using it.
3- The code must work flawlessly. Do not use those using server/client method.
4- The project is about image RETRIEVAL not image CLASSIFICATION.
The purpose of this project is not having just a working code. What I need is a code with very clear and detailed explanation to understand it. The most important part for me is how the search would be done.
Budget is 20CAD.
If you accept the project, it is assumed that you have read and understood the project description.
if any of above criteria were missing in the delivered project, the project is considered "undone".
It does not matter if you find the code on the internet or you write the code yourself.
What is important is:
1- The code must be written in jupyter notebook (only Python) with a clear and detailed explanation for each block.
2- You should not use easy networks like Lenet. VGG or Resnet is preferable. Other networks are possible but please confirm before using it.
3- The code must work flawlessly. Do not use those using server/client method.
4- The project is about image RETRIEVAL not image CLASSIFICATION.
The purpose of this project is not having just a working code. What I need is a code with very clear and detailed explanation to understand it. The most important part for me is how the search would be done.
Budget is 20CAD.
If you accept the project, it is assumed that you have read and understood the project description.
if any of above criteria were missing in the delivered project, the project is considered "undone".