updates

Author: karmarv

H2RecogTF/README.md

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+------------------------------------------------------------
+- Experiment with using neural networks for a recognition task
+- Datasets:
+-   Mnist http://yann.lecun.com/exdb/mnist
+-   CiFar10 https://www.cs.toronto.edu/~kriz/cifar.html
+------------------------------------------------------------
+
+# Demonstrate components 
+1. process images (input, batch, format conversion, etc.)
+2. perform training (with proper batching and validating)
+3. estimate performance (e.g., error rate vs. run time and iterations, resource usage statistics)
+
+### Note: Use CNN with a choice of number of blocks, number of layers, number of neurons per layer etc
+
+- Exec  
+```
+    $ python cnn_recog_mnist.py
+```
+- Program Dumps the results in stdio/console
+- plots are dumped in output folder

H2RecogTF/Report.docx

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+model_checkpoint_path: "best_validation"
+all_model_checkpoint_paths: "best_validation"