Update README.md

README.md

@@ -4,7 +4,7 @@ datasets:
 - https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/
 ---
 
-GAN model trained on [CIFAR10 (Airplane)](https://www.tensorflow.org/datasets/catalog/cifar10) and [FGVC Aircraft](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/) images. The model uses [Progressive Growing](https://arxiv.org/pdf/1710.10196.pdf) with [Spectral Normalization](https://arxiv.org/pdf/1802.05957.pdf).
+GAN model trained on [CIFAR10 (Airplane)](https://www.tensorflow.org/datasets/catalog/cifar10) and [FGVC Aircraft](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/) images. The model leverages [Progressive Growing](https://arxiv.org/pdf/1710.10196.pdf) with [Spectral Normalization](https://arxiv.org/pdf/1802.05957.pdf).
 
 | Generated Images | Real Images (for comparison) |
 | -------- | --------- |
@@ -17,3 +17,15 @@ GAN model trained on [CIFAR10 (Airplane)](https://www.tensorflow.org/datasets/ca
 
 # Details
 [Colab Notebook](https://colab.research.google.com/drive/1b4KFZOnLERwQW_3jQ8FMABepKEAcDIK7?usp=sharing)
+
+The model generates 32 x 32 images of Airplanes. It is trained on an NVIDIA T4 Colab Runtime.
+
+The Critic consists of Convolutional Layers (3x3 kernel) with strides for downsampling, and Leaky ReLU activation. The critic uses [Spectral Normalization](https://arxiv.org/pdf/1802.05957.pdf), with more details [here](#spectral-normalization).
+
+The Generator uses Transposed Convolutions (2x2 kernel) with strides for upsampling, and ReLU activation. The generator uses the variant of pixel-level Local Response Normalization proposed in the [Progressive Growing](https://arxiv.org/pdf/1710.10196.pdf) paper.
+
+# Spectral Normalization
+
+# Progressive Growing
+
+# Does the model simply memorize the images?