CNN tensorflow or pytorch - 06/09/2018 13:38 EDT

Completed Posted 5 years ago Paid on delivery
Completed Paid on delivery

For a given 2 folders with images of different size, make a simple to read deep learning model using tensorflow or pytorch to classify images into one of those two classes.

The task should be done using jupiter notebok

Data can be found at [login to view URL]

The solution should work even if file names are replaced and more files added.

The solution should use of at least one convolutional layer.

Remember this is a very short project, and it should be a short programming code and easy to read.

Machine Learning (ML) Python Tensorflow

Project ID: #17718439

About the project

4 proposals Remote project Active 5 years ago

Awarded to:

uzairrzahid

Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin More

€155 EUR in 3 days
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4 freelancers are bidding on average €164 for this job

zhangyingtai

Hello sir I am a qualified python developer with rich experiences of machine learning. I have made many models with cnn algorithms. I got your idea and am ready to start the work. Looking forward to hearing from More

€250 EUR in 3 days
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bdlions

Hello sir, We are interested in your project. This week we implemented similar project of image classification using both CNN and RNN. Please check our profile. We used Jupiter Notebook, tensorflow and there was con More

€140 EUR in 3 days
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