Ai Design Corps™ ’s Post

#Day01 of #100DaysOfCode: Unveiling the Magic of GANs!  Hey everyone! 💻 Today marks the beginning of the #100DaysOfCode challenge, and I'm diving headfirst into the captivating world of Generative Adversarial Networks (GANs)! 🎉 Why are GANs so awesome?   Imagine having a model that can conjure up entirely new, realistic data - whether it's images, music, or even code! That's the sheer power of GANs, and they're transforming industries from art to medicine! 🌟 So, how do these marvels work?  Picture it as a thrilling two-player game: - The Discriminator: Think of this neural network as a discerning art critic, meticulously inspecting images to spot any hint of forgery. 👩🎨 - The Generator: This creative genius is constantly whipping up fresh images, aiming to bamboozle the Discriminator into believing they're the real deal. 🧙♂️ Through this epic showdown, both networks level up: the Discriminator sharpens its skills in detecting fakes, while the Generator hones its craft in crafting lifelike counterfeits. 🚀 Today, I embarked on building a basic GAN using fully connected layers and trained it on the timeless MNIST handwritten digit dataset. Admittedly, the results aren't flawless (those digits could use a touch-up!), but it lays a sturdy groundwork for exploring more sophisticated architectures down the road. 🏗️ Here's a snapshot of what I tackled: - Building the Discriminator and Generator networks - ⚙️ Tweaking hyperparameters, initializing, and prepping the data - Setting up the GAN training loop - Training and scrutinizing the model's performance This is just the inaugural chapter in our GAN odyssey! There's an entire universe of possibilities waiting to be uncovered - from diverse architectures to innovative applications. 🌌 What piques your curiosity about GANs? Share your thoughts in the comments below! 💬 #100DaysOfCode #GANs #DeepLearning #MachineLearning #AI  🔗 Here's a helpful video to kickstart your GAN journey! https://lnkd.in/edxsADgm

Happy to share that our survey paper on "Ten Years of Generative Adversarial Nets (GANs)" has been published in Machine Learning: Science and Technology. To know about the state-of-the-art and future research outlines in this field, you may consider reading this: https://lnkd.in/du2C7KCr Cheers to my co-authors Ujjwal Reddy K S, Shraddha Naik, Ph.D. Madhurima Panja, and Bayapureddy. #generativeai #chatgpt #gans #deeplearning #machinelearning

I’m happy to share that I’ve obtained a new certification: Build Better Generative Adversarial Networks (GANs) from DeepLearning.AI!

I’m happy to share that I’ve obtained a new certification: Build Basic Generative Adversarial Networks (GANs) from DeepLearning.AI!

I’m happy to share that I’ve obtained a new certification: Build Better Generative Adversarial Networks (GANs) from DeepLearning.AI!

A Gentle Introduction to Generative Adversarial Networks (GANs) https://is.gd/QF0pZ9 #MachineLearning #Latest #ComputerVision #DataScience

A video from Oct 25, 2017 gives an excellent metaphor for how a GAN ( Generative Adversarial Network ) functions and demonstrates some practical applications. In the five years and eleven months since this video was published, we have Open AI, Midourney, and DALL*E 2. What do you think will come in the next five years?

Embarked on my journey into GANs! Started reading a paper on Generative Adversarial Networks and used references to code one and test it on MNIST data using PyTorch! Can't wait to see what it could do! #GANs #machinelearning #deeplearning #PyTorch

🚀 Discover the Power of Generative Adversarial Networks (GANs) 🚀 Generative Adversarial Networks (GANs) have changed how we create images and videos since they were introduced by Ian Goodfellow in 2014. Models like StyleGAN and BigGAN help make incredibly realistic and high-quality visuals, taking AI to the next level. In latest article on techNovaSphere, Ritigya explains how GANs work, the challenges in training them, and their many uses in areas like art, fashion, and medical imaging. 📰 Read the full article to learn about: - how GANs are built - advanced models like StyleGAN and BigGAN - solutions to training problems like WGANs - real-world applications and the future of synthetic media 🔗 Read the full article here... (https://lnkd.in/eQtqT3Sb) Follow techNovaSphere and Ritigya Mishra for more amazing tech trends and updates. #AI #MachineLearning #GANs #TechInnovation #SyntheticMedia #techNovaSphere #StyleGAN #BigGAN #Ritigya