<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Giwon Shin</title><description>Giwon Shin&apos;s homepage</description><link>https://giwone1330.github.io/</link><item><title>Building CycleGAN From Scratch for Unpaired Image Translation</title><link>https://giwone1330.github.io/blog/building-cyclegan-from-scratch-for-unpaired-image-translation/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-cyclegan-from-scratch-for-unpaired-image-translation/</guid><description>An implementation-focused walkthrough of CycleGAN, including generators, discriminators, adversarial loss, and cycle consistency.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building DCGAN From Scratch for Face Generation</title><link>https://giwone1330.github.io/blog/building-dcgan-from-scratch-for-face-generation/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-dcgan-from-scratch-for-face-generation/</guid><description>A from-scratch implementation of DCGAN, covering generator and discriminator design, adversarial training, and sample visualization.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building Fully Convolutional Networks From Scratch for Semantic Segmentation</title><link>https://giwone1330.github.io/blog/building-fully-convolutional-networks-from-scratch-for-semantic-segmentation/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-fully-convolutional-networks-from-scratch-for-semantic-segmentation/</guid><description>A dense-prediction walkthrough of FCN-style semantic segmentation with VGG backbones, skip connections, and upsampling.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building FSRCNN From Scratch for Real-Time Super-Resolution</title><link>https://giwone1330.github.io/blog/building-fsrcnn-from-scratch-for-real-time-super-resolution/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-fsrcnn-from-scratch-for-real-time-super-resolution/</guid><description>A code-heavy walkthrough of FSRCNN, from low-resolution feature extraction to learned deconvolution for image upscaling.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building Grad-CAM From Scratch: Visual Explanations for CNNs</title><link>https://giwone1330.github.io/blog/building-grad-cam-from-scratch-visual-explanations-for-cnns/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-grad-cam-from-scratch-visual-explanations-for-cnns/</guid><description>A paper-to-code walkthrough of Grad-CAM, guided backpropagation, and guided Grad-CAM using pretrained AlexNet and VGG-16.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building an LSTM Character Generator From Scratch</title><link>https://giwone1330.github.io/blog/building-an-lstm-character-generator-from-scratch/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-an-lstm-character-generator-from-scratch/</guid><description>A character-level LSTM implementation that connects recurrent modeling theory with gated sequence generation in code.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building Neural Style Transfer From Scratch</title><link>https://giwone1330.github.io/blog/building-neural-style-transfer-from-scratch/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-neural-style-transfer-from-scratch/</guid><description>A code-first walkthrough of neural style transfer using VGG feature losses, Gram matrices, and iterative image optimization.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building Seq2Seq With Attention From Scratch</title><link>https://giwone1330.github.io/blog/building-seq2seq-with-attention-from-scratch/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-seq2seq-with-attention-from-scratch/</guid><description>A machine-translation walkthrough of encoder-decoder sequence modeling, attention, training, and evaluation.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building Spatial Transformer Networks From Scratch</title><link>https://giwone1330.github.io/blog/building-spatial-transformer-networks-from-scratch/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-spatial-transformer-networks-from-scratch/</guid><description>A step-by-step implementation of Spatial Transformer Networks for distortion-invariant image classification.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Implementing VGGNet and ResNet From Scratch for Image Recognition</title><link>https://giwone1330.github.io/blog/implementing-vggnet-and-resnet-from-scratch-for-image-recognition/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/implementing-vggnet-and-resnet-from-scratch-for-image-recognition/</guid><description>A comparative reimplementation of VGG and ResNet, focused on depth, optimization, and residual learning.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Building YOLO From Scratch for Real-Time Object Detection</title><link>https://giwone1330.github.io/blog/building-yolo-from-scratch-for-real-time-object-detection/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/building-yolo-from-scratch-for-real-time-object-detection/</guid><description>A full implementation walkthrough of YOLO, including the network, target encoding, loss, inference, and visualization.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate></item><item><title>Initial post</title><link>https://giwone1330.github.io/blog/initial-post/</link><guid isPermaLink="true">https://giwone1330.github.io/blog/initial-post/</guid><description>Brief description of how this homepage was made, and note to self on how to make future updates.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate></item></channel></rss>