Training and Fine-Tuning CycleGAN

<p>Today, we&rsquo;ll be learning how to train and fine-tune CycleGAN. Here, it&rsquo;s in action, transforming a photograph into a painting.</p> <p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*zfn00BVWmJCEnufoM99wtw.png" style="height:165px; width:700px" /></p> <p>Source:&nbsp;<a href="https://arxiv.org/pdf/1703.10593.pdf" rel="noopener ugc nofollow" target="_blank">Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks</a></p> <h2>CycleGAN Installation</h2> <ul> <li>Clone the repository:</li> </ul> <pre> git clone https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix</pre> <h2>CycleGAN Train</h2> <ul> <li>Download a dataset; we&rsquo;ll be using the datasets linked in references. But feel free to use whatever suits your needs.</li> <li>Arrange the training dataset,&nbsp;<code>pytorch-CycleGAN-and-pix2pix</code>:</li> </ul> <p><a href="https://generativeai.pub/training-and-fine-tuning-cyclegan-81bad7810a83"><strong>Click Here</strong></a></p>