Merge pull request OpenGenus#2 from Anacoder1/patch-2

Update README.md

README.md

@@ -1 +1,54 @@
-# image_to_image_translation_cyclegan
+# image_to_image_translation_cyclegan
+
+***
+
+### Setup
+
+1. Download the Monet2Photos dataset as follows:
+
+```
+wget https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/monet2photo.zip
+```
+
+2. Make a new directory (e.g. 'data'), and make it the current directory
+
+```
+mkdir data
+cd data
+```
+
+3. Unzip the zip file containing the dataset inside the 'data' directory
+
+```
+unzip monet2photo.zip
+```
+
+4. Install the keras_contrib library as follows:
+
+```
+pip install git+https://www.github.com/keras-team/keras-contrib.git
+```
+
+5. Create a new directory (e.g. 'results') to store the original, generated and reconstructed images
+
+```
+mkdir results
+```
+
+***
+
+## About the execution modes
+
+**A) Train mode**
+
+* Vanilla execution mode
+* Images will be loaded, and the generator and discriminator networks will be trained
+* Generator will generate images from the given input, discriminator will distinguish between real and fake images
+* The adversarial model is responsible for reaching an optimum value of the objective function
+* After every epoch, the weights are updated to tune both the networks to reach maximum efficiency.
+
+**B) Predict mode**
+
+* The discriminator network isn't involved here - only the weights of the generator network are loaded, and the generator network is trained
+* The generator generates images for the input images it is provided
+* No networks are optimized, the generator just generates images for the entire batch of inputs.