Deep Convolutional Generative Adversarial Networks (Dcgan)

Learn to create Generative Adversarial Networks (GAN) & Deep Convolutional Generative Adversarial Networks (DCGAN)

What you'll learn
Learn the basic principles of Generative Adversarial Networks (GAN)
Learn the basic principles of Deep Convolutional Generative Adversarial Networks (DCGAN)
Build a Deep Convolutional Generative Adversarial Networks (DCGAN) with step by step guidance
Setup the code for Deep Convolutional Generative Adversarial Networks (DCGAN)

Requirements
Basic neural networks knowledge would be helpful, however all the basic concepts will be covered in this course

Description
Generative Adversarial Networks (GANs) &  Deep Convolutional Generative Adversarial Networks (DCGAN) are one of the most interesting and trending ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator , learns to create images that look real, while a discriminator learns to tell real images apart from fakes.At the end of the Course you will understand the basics of Python Programming and the basics ofGenerative Adversarial Networks (GANs) &  Deep Convolutional Generative Adversarial Networks (DCGAN) .The course will have step by step guidance Import TensorFlow and other librariesLoad and prepare the datasetCreate the models (Generator & Discriminator)Define the loss and optimizers (Generator loss , Discriminator loss)Define the training loopTrain the modelAnalyze the output Suggested Prerequisites:Python coding: some revision is provided during this courseGradient descentBasic knowledge of neural networks

Who this course is for:
Anyone who wish to improve the deep learning knowledge,students who wish to learn the new trends Deep Convolutional Generative Adversarial Networks (DCGAN)