Pytorch Conditional GAN Tutorial

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Hp-jWm2SzR8

In this video we take a look at a way of also deciding what the output from the GAN should be. Specifically the output is conditioned on the labels that we send in and as an example we take a look at training on MNIST (of course) ;) But these ideas extend to any dataset you're working with really! • ❤️ Support the channel ❤️ • / @aladdinpersson • Paid Courses I recommend for learning (affiliate links, no extra cost for you): • ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt • ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI • 📘 MLOps Specialization http://bit.ly/3wibaWy • 📘 GAN Specialization https://bit.ly/3FmnZDl • 📘 NLP Specialization http://bit.ly/3GXoQuP • ✨ Free Resources that are great: • NLP: https://web.stanford.edu/class/cs224n/ • CV: http://cs231n.stanford.edu/ • Deployment: https://fullstackdeeplearning.com/ • FastAI: https://www.fast.ai/ • 💻 My Deep Learning Setup and Recording Setup: • https://www.amazon.com/shop/aladdinpe... • GitHub Repository: • https://github.com/aladdinpersson/Mac... • ✅ One-Time Donations: • Paypal: https://bit.ly/3buoRYH • ▶️ You Can Connect with me on: • Twitter - / aladdinpersson • LinkedIn - / aladdin-persson-a95384153 • Github - https://github.com/aladdinpersson • OUTLINE: • 0:00 - Introduction • 0:56 - Modifying Generator and Discriminator • 6:58 - Modifying Gradient Penalty • 7:35 - Modifying Training • 10:43 - Evaluation Ending

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