updated documents

README.md

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+# Sumasen Trainer
+---
+### Train and create a new Model
+
+1) Select New from left menu
+![initial](documents/initial.png) 
+
+2) Enter image folder where images are saved in sub folder as their category
+
+**This will assign a outpu folder to arrage images, you can modify if required**
+![output folder](documents/output_folder.png)
+
+Eg:
+`image_classifier/dataset/raw_data`
+![select image folder](documents/select_image_folder.png)
+
+
+3) Select input shape
+This will be used to resize image into
+![image shape](documents/image_shape.png)
+
+4) Select Batch Size
+   This is the number of image used to train as a batch
+![batch size](documents/select_batch_size.png)
+
+5) Click arrange images button
+This will rearrange the images seected above and arrange them as train, test and validation sets
+![arranges images](documents/arraged_images.png)
+
+6) a) Enter a name for model, the model will be saved under previouly selected output folder
+  b) also select number of epochs the training should run
+![start training](documents/begin_training.png))
+
+7) training progrss
+![training progress](documents/training_progress.png)
+
+8) Training completed.
+   The model will be saved in the output folder
+   ![training complted](documents/finished_training.png)
+
+
+### Predicting a new image
+
+1) Select "Existing model" from left pane
+
+![existing model](documents/previous_model.png)
+
+2) Enter a folder to list all models available (if a training session is done previously the output folder will be there automatically)
+3) Click load model and select a model available
+![select model](documents/select_model.png)
+
+4) On the right pan select images shape that used for this model and a new image to predict,
+![predict](documents/predicttion.png)
+