Maybe my question seems silly. I never used MXNET before and I prefer Tensorflow, but I can’t open some implementation in Tensorflow. In the explorer, it shows .ipynb file size is 0KB and in the jupyter notebook, shows error “Unreadable Notebook: D:\Python scripts\d2l-en\tensorflow\chapter_generative-adversarial-networks\dcgan.ipynb NotJSONError(“Notebook does not appear to be JSON: ‘’…”)”. Help me. Btw, mxnet implementation works okay.
You can check the chapter DCGAN, then you will find that there isn’t tensorflow code now.
You can join us to translate from mxnet to tensorflow.
I’m translating DCGAN from mxnet to pytorch, but still stuck.
Oh I see
Unfortunately I am new to MXNET, I afraid I can’t.
Thanks for response.
I’m new to pytorch and mxnet too.
Then I have translated GAN from pytorch and mxnet.
If you follow the book step by step, I think it won’t be hard for you.
And I found Chapter 17. Representation Learning and Generative Learning Using Autoencoders and GANs: https://learning.oreilly.com/library/view/hands-on-machine-learning/9781492032632/ch17.html#idm45728442616808
Maybe it will help you if you are a member of Oreilly or ACM.
Hi, I am new to this. I have just installed miniconda on Widdows. How to perform the next step?
- Download the corresponding Miniconda sh file from the website and then execute the installation from the command line using
sh <FILENAME> -b.
- Download the D2L notebook?
It seems that tensorflow does not have a build for python3.9, so when I type(I don’t know if comment pages support markdown rendering)
pip install tensorflow
It shows the result below.
The solution is to downgrade python3.9 to 3.8 in the virtual env. Or specify python version when creating d2l env.
conda create --name d2l python=3.8
After downgrading my python version to 3.85, everything works fine.
Hi @woshiZS, great catch! Thanks for reporting the potential issues!
This issue has been resolved, I had to install Ipython while in the d2l environment