Training part of a CNN Architecture on a one dataset to use weights (PyTorch)

I need to essentially train the first half of a CNN model (Resnet50) on one dataset, before taking those weights and applying them back to the Full Resnet50 Arch for the corresponding layers (i.e. first half) for continued training.

More specifically, the steps are as follows:

1) Get model (Resnet50, we will call this the full model here so the remaining instructions are clear)

2) Split this full model to obtain the first half of it (we will call this the split model)

3) Train this split model on some toy data

4) Assign weights from split model to corresponding layers of full model

Cloud computer and toy data will be provided.

Task to be completed using PyTorch and Jupyter Notebook, with comments so the method can be used again.

To be completed by 16/03/19

Taidot: Algoritmi, Koneoppiminen, Python, Pytorch, Tutkimus

Näytä lisää: pytorch binary classification example, pytorch dataset, pytorch image classification, pytorch classification example, pytorch gpu example, cnn pytorch tutorial, pytorch cnn example, pytorch tutorial

Tietoa työnantajasta:
( 0 arvostelua ) Aldershot, United Kingdom

Projektin tunnus: #18918303

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


I have done MS Software Engineering. I have 5 years’ experience in DATA ENGINEERING, ML and Artificial Intelligence. I know all data mining techniques, Deep learning and data analysis techniques. I have worked on K-me Lisää

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Hi. I am an expert in machine learning. I have many experiences in CNN of object detection. We can discuss details via chat. I wait for you now. Thanks.

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Dear Client!!. I'm an expert of programming Thank you for your attention I am a Programmer with 7 years of experience in full circle of software development. I am interesting in Python and Web Crawling,Scrapin Lisää

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