GANs Specialization made by deeplearning.ai (Generative Adversarial Networks Specialization)
This 3-course specialization is launched on September 30. The repository contains files for Course 1, 2, 3. The prefilled assignment files are already completed.
Update 1: Made this repository public for reference (on September 30, 2020)
Update 2: Course 1 and 2 final materials added on (09/29/2020). Large sized files can be downloaded from Coursera.
Update 3: I have decided to only upload the ipynb files of the assignments as notebooks does not require any reference and the additional required files (dataset/utils.py etc) can be accessed from Coursera.
Update 4: Uploaded the files for Course 3 after launch on Coursera.
Use the assignment files with prefilled code for reference only. I highly encourage you to solve the assignments on your own. In case you face any difficulties, the mentors of this specialization (me included) are available on DeepLearning.AI GANs Slack Workspace. If the mentors are busy and you have less time, use this repository for reference to see what steps you were missing or doing wrong.
The files uploaded were used during the Beta Testing of the course. Chances are there might be changes in the new files. If there is any major change you'd like to address, you can mail me on Gmail or send a message on my LinkedIn Profile
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
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