make a python notebook in colab to run a dCGAN

In Progress Posted 3 years ago Paid on delivery
In Progress Paid on delivery

I am an artist using machine learning to make images for paintings.

I need to make a new DCGAN in a python notebook to run in Google colab.

I would like to base it on this tensorflow DCGAN tutorial example to run on tensorflow 2.3.0:

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with the following modifications:

- a process to resize training images (take training images from user specified google drive and resize them for the model)

- output images to be user specified at 64 x 64 x 3, or 128 x 3 x 3: (the example is 28 x 28 x 1)

- output images to save to a user specified google drive folder at specified intervals (eg, every 100 epochs)

I can share with you my earlier model which had those features and I was happy with, but has stopped working (I think due to tensorflow updates)

getting photo-realistic images isnt necessarily the goal: I will use this model to train on very small datasets - so small batch sizes may be needed too.

Python Machine Learning (ML) Artificial Intelligence Computer Vision Google Webmaster Tools Tensorflow

Project ID: #27774088

About the project

13 proposals Remote project Active 3 years ago

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sgadou

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