updates to readme

README.md

@@ -5,11 +5,15 @@ Link to dataset: https://www.kaggle.com/c/histopathologic-cancer-detection/overv
 
 Dataset is also available at:
 ```bash
-cluster.cs.earlham.edu/eccs/home/afarah18/488/markI/histopathologic-cancer-detection
+cluster.cs.earlham.edu:/eccs/home/afarah18/488/markIII/histopathologic-cancer-detection
 ```
 
 Link to paper: 
 
+Link to Video:
+
+Link to Poster:
+
 ## Software architecture diagram
 ![Software architecture diagram](https://portfolios.cs.earlham.edu/wp-content/uploads/2021/03/Screen-Shot-2021-03-22-at-11.42.40-PM.png)
 
@@ -21,10 +25,19 @@ VGGCNN.py -> This file includes code for training a VGG model with ImageNet tran
 
 VGGLessData.py -> This file includes code for training VGG with transfer learning with half of the dataset
 
-validate.py -> This file includes code for validating the results of the three models
+validate.py -> This file includes code for evaluating the results of the three models
 
 ## How to use
 After installing the dependencies each file can be run simply by using:
 ```bash
 python3 <filename>
 ```
+
+Naturally validation file has to be run after all three models have been trained and saved as .h5 files.
+
+## List of dependencies
++ NumPy
++ Pandas
++ TensorFlow
++ Keras
++ MatplotLib
\ No newline at end of file

validate.py

+### Ali Farahmand
+### CS 488 Senior Capstone
+
 #imports
 import pandas as pd
 from tensorflow import keras