![[100% Off] Deep Convolutional Generative Adversarial Networks (DCGAN) Free Course Coupon](https://img-c.udemycdn.com/course/750x422/3173746_088d.jpg "[100% Off] Deep Convolutional Generative Adversarial Networks (DCGAN) Free Course Coupon")
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 libraries
Load and prepare the dataset
Create the models (Generator & Discriminator)
Define the loss and optimizers (Generator loss , Discriminator loss)
Define the training loop
Train the model
Analyze the output
Suggested Prerequisites:
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Python coding: some revision is provided during this course
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Gradient descent
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Basic knowledge of neural networks
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