tensorflow-MNIST-cGAN-cDCGAN | Tensorflow implementation | Machine Learning library

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kandi X-RAY | tensorflow-MNIST-cGAN-cDCGAN Summary

tensorflow-MNIST-cGAN-cDCGAN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Generative adversarial networks applications. tensorflow-MNIST-cGAN-cDCGAN has no bugs, it has no vulnerabilities and it has low support. However tensorflow-MNIST-cGAN-cDCGAN build file is not available. You can download it from GitHub.

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

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tensorflow-MNIST-cGAN-cDCGAN has a low active ecosystem.

It has 125 star(s) with 61 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 545 days. There are no pull requests.

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The latest version of tensorflow-MNIST-cGAN-cDCGAN is current.

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tensorflow-MNIST-cGAN-cDCGAN has 0 bugs and 0 code smells.

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tensorflow-MNIST-cGAN-cDCGAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow-MNIST-cGAN-cDCGAN code analysis shows 0 unresolved vulnerabilities.

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tensorflow-MNIST-cGAN-cDCGAN has no build file. You will be need to create the build yourself to build the component from source.

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Show test results
Display training history
A 2nd layer function
Linear loss function
Create a discriminator layer

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tensorflow-MNIST-cGAN-cDCGAN Key Features

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Community Discussions

Trending Discussions on tensorflow-MNIST-cGAN-cDCGAN

tensorflow.python.framework.errors_impl.InternalError: Dst tensor is not initialized

QUESTION

tensorflow.python.framework.errors_impl.InternalError: Dst tensor is not initialized

Asked 2019-Mar-12 at 16:18

I am following this Link to implement a cDCGAN on my own dataset. My dataset contains almost 391510 images. The image size of my dataset is 64 whereas the MNIST used in this link is 28. My dataset has 2350 labels where as the MNIST dataset has 10.

My dataset is in .tfrecords format so i am using a get_image() function to retrieve batch of images and labels from it as shown below. When i run my code i get the following error

...

ANSWER

Answered 2019-Mar-12 at 16:18

So after searching my self i came to a solution. I applied some tricks from this answer. I reduced my batch size from 32 to 16 which resulted in slow training but i had to make some trade off :). I also changed the structure of D and G by reducing the no. of neurons in hidden layers. And lastly i applied some tensorflow memory allocation tips from this answer above that helped me.

I hope my answer can help beginners like me.

Source https://stackoverflow.com/questions/55058591

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You can use tensorflow-MNIST-cGAN-cDCGAN like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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