add model card

README.md

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+
+▲
+🙂
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 license: gpl-2.0
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 This is an example notebook for Keras sprint prepared by Hugging Face. Keras Sprint aims to reproduce Keras examples and build interactive demos to them. The markdown parts beginning with 🤗 and the following code snippets are the parts added by the Hugging Face team to give you an example of how to host your model and build a demo.
 
-**Original Author of the DCGAN to generate face images Example:** [fchollet](https://twitter.com/fchollet)
+**Original Author of the DCGAN to generate face images Example:** [fchollet](https://twitter.com/fchollet)
+
+## Steps to Train the DCGAN
+
+1. Create the discriminator
+- It maps a 64x64 image to a binary classification score.
+
+```py
+
+discriminator = keras.Sequential(
+    [
+        keras.Input(shape=(64, 64, 3)),
+        layers.Conv2D(64, kernel_size=4, strides=2, padding="same"),
+        layers.LeakyReLU(alpha=0.2),
+        layers.Conv2D(128, kernel_size=4, strides=2, padding="same"),
+        layers.LeakyReLU(alpha=0.2),
+        layers.Conv2D(128, kernel_size=4, strides=2, padding="same"),
+        layers.LeakyReLU(alpha=0.2),
+        layers.Flatten(),
+        layers.Dropout(0.2),
+        layers.Dense(1, activation="sigmoid"),
+    ],
+    name="discriminator",
+)
+
+```
+
+2. Create the generator
+- It mirrors the discriminator, replacing Conv2D layers with Conv2DTranspose layers
+
+```py
+
+latent_dim = 128
+
+generator = keras.Sequential(
+    [
+        keras.Input(shape=(latent_dim,)),
+        layers.Dense(8 * 8 * 128),
+        layers.Reshape((8, 8, 128)),
+        layers.Conv2DTranspose(128, kernel_size=4, strides=2, padding="same"),
+        layers.LeakyReLU(alpha=0.2),
+        layers.Conv2DTranspose(256, kernel_size=4, strides=2, padding="same"),
+        layers.LeakyReLU(alpha=0.2),
+        layers.Conv2DTranspose(512, kernel_size=4, strides=2, padding="same"),
+        layers.LeakyReLU(alpha=0.2),
+        layers.Conv2D(3, kernel_size=5, padding="same", activation="sigmoid"),
+    ],
+    name="generator",
+)
+```
+
+HF Contributor: [Tarun Jain](https://twitter.com/TRJ_0751)