Master GAN with TensorFlow: Create Art with Neural Networks

سرفصل های دوره

Learn Generative Adversarial Networks (GANs), Neural Style Transfer, and Image Synthesis with projects in TensorFlow.

1 - Introduction

1 -Image Generation with NN

2 -Introduction to AutoEncoders

3 -AutoEncoders Code

4 -Variational AutoEncoder

4 - Auto Encoder Code with explanation.html

5 -Variational AutoEncoder Code

6 - Variational Auto-Encoder Code with explanation.html

2 - Vanilla GAN

1 -Introduction to Vanila GAN

2 -Vanila GAN Code

3 - GAN Code with explanation.html

3 - DC GAN

1 -Deep Convolutional GAN

2 - DCGAN Code with explanation.html

4 - Wasserstein GAN

1 -Introduction to WGAN

2 -WGAN with Gradient Penalty

3 -Implementing WGAN-GP Loss and Training Function

4 -Implementing WGAN-GP

5 - WGAN Code with explanation.html

5 - Conditional GAN

1 -Conditional GAN

2 -Implementing Conditional GAN

3 - Conditional GAN Code with explanation.html

6 - Pix2Pix GAN

1 -Pix2Pix GAN

2 -Implementing Pix2Pix GAN

3 - Pix2Pix GAN Code with explanation.html

7 - Cycle GAN

1 -Cycle GAN

2 -Implementing Cycle GAN

3 - Cycle GAN Code with explanation.html

8 - Vanilla Neural Style Transfer

1 -Vanilla Style Transfer

2 -NST Code

3 - Vanila Style Transfer Code with explanation.html

9 - Feed Forward Style Transfer

1 -Feed Forward Style Transfer

2 -Feed Forward Style Transfer Code

3 - Feed Forward Style Transfer Code with explanation.html

10 - Arbitrary Style Transfer

1 -Arbitrary Style Transfer

2 -Arbitrary Style Transfer Code

3 - Arbitrary Style Transfer code with explanation.html

11 - GauGAN

1 -Introduction to GauGAN

2 -GauGAN SPADE Layer

3 -GauGAN Model Flow

4 -GauGAN Code 1

5 -GauGAN Code 2

5 - GauGAN Code with explanation.html

6 -GauGAN Code 3

6 - GauGAN Code with explanation.html

7 - GauGAN Code with explanation.html

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تولید کننده: Udemy