diff --git a/README.rst b/README.rst
index 38ac21ce558038e458680e6979a2462401706284..09beb1c41325085c7ed8584ae8b6f60198669713 100644
--- a/README.rst
+++ b/README.rst
@@ -1,30 +1,18 @@
-Sparse Coding Library for PyTorch
+Sparse Coding Library for Tensorflow
 =================================
 
-Installation
-------------
-
-To install the package, clone it to a local folder, then run `pip install -e .` from the folder to install the package in edit mode (so changes to the code are used).
-
 Overview
 ------------
 
 Main sparse coding file is found at:
-scripts/train_conv3d_sparse_model.py
+keras/train_sparse_model.py
 
 Sparse coding command example:
-python scripts/train_conv3d_sparse_model.py
+python train_sparse_model.py
 
 
 Main classification model is found at:
-scripts/train_classifier.py
+keras/train_classifier.py
 
 Classification command example:
-python data_classifiers/small_data_classifier.py --checkpoint sparse.pt
-
-
-Run on a single Yolo clip with:
-python scripts/run_on_single_image.py
-Notes:
-Need to have classifier.pt and sparse.pt (checkpoints) in root
-Videos go in a directory called input_videos
+python small_data_classifier.py --checkpoint sparse.pt