Thanks for the comments
Congrats on your work.
This is the response I got from the staff regarding your post:
Here’s a link to deeplearning.ai policies:
Yes, I was also worried that this would not be allowed. Note that posting something in a public github account is also a violation of the Terms of Use, since it exposes the work based on DLAI copyrighted material to the entire world.
One approach to the forum thread would be to “unlist” it. That would mean that only the mentors and Norma could see the link and discuss it. Or edit the post to remove the github link, although that still leaves the copyright issue mentioned above.
Ok, thanks for your comments. I did not mean to violate the copyright. I will rewrite my notebook.
how can I eliminate the link to my github? I couldn´t delete the message with the link.
I can edit your message to remove the link.
Done.
thanks
Just a question. As someone new to deep learning, the only tools I have are those I learned in this course. My logic was to try to apply what I’ve learned to another dataset in my own way. So, are you saying that I can’t use the functions defined in the assignments to apply them to another dataset?
I redefined all the functions in a TensorFlow version, built my own utils_app file, and applied everything I learned to a different dataset. Why would that be considered a copyright violation? On my GitHub page, I clarified that my notebook is an adaptation of the assignment and stated that the original course materials are © DeepLearning.AI / Coursera.
Can I share my notebook with another community outside this one?
I’ll interpret how I think the situation can be summarized. This is just my opinion as a volunteer - only DL.AI staff can give an official interpretation.
The issue is that publishing a solution for a graded assignment is not allowed - particularly on DL.AI’s own forum.
You can personally use your own modification of the course materials - but you cannot share it with others.
yes, but I am not sharing the solutions to the graded assignments. How can it be possible when I modiffied the definitions and the datasets?
And I am not saying that I am the author of the ideas, becuase I am giving the credit to DeepLearning. AI.
I am not posting exact copies of the original notebook, functions, or data used in the graded tasks.
In my notebook I am not sharing anything that allows others to directly bypass the original course assessments.
I’ll leave this for DL.AI staff to reply.
The other point to consider here is that if your goal is to implement a fully connected feed forward neural network using TensorFlow, you can do that completely on your own without using anything other than intellectual concepts from the course. Not a single line of code would be shared and thus it would be your own intellectual property.
Also, if you posted entirely your own content, then you would not need to claim “fair use” for DL.AI’s content.