diff --git a/hpvm/projects/keras/README.md b/hpvm/projects/keras/README.md
index e5709e45d62d4da7acee5121a4f2db5690ecef2e..a8e15188e8680091da3cd14451eb4e3d791534c2 100644
--- a/hpvm/projects/keras/README.md
+++ b/hpvm/projects/keras/README.md
@@ -73,18 +73,36 @@ python src/${BENCH_NAME}.py  [hpvm_reload|keras_reload]  [frontend]
 ```
 
 
-**Parameters:**
+**Command-line Parameters**
 
-`hpvm_reload` : Reloads HPVM weights ('.bin' binary format used in `model_params` found here: https://gitlab.engr.illinois.edu/llvm/hpvm/-/tree/approx_hpvm_reorg_keras/hpvm/test/dnn_benchmarks/model_params) from directory path specified in the [Benchmark class constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L17). 
+`hpvm_reload` : Reloads HPVM weights ('.bin' binary format used in `model_params` found here: https://gitlab.engr.illinois.edu/llvm/hpvm/-/tree/approx_hpvm_reorg_keras/hpvm/test/dnn_benchmarks/model_params) from directory path specified in the `reload_dir` parameter set in code - this is described in "Parameters to Change in Code" (below).
 
-`keras_reload`: Reloads weights in Keras `.h5` file format with path to file specified in [Benchmark class constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L20)
+`keras_reload`: Alternatively, reload weights in Keras `.h5` file format with path to file specified in `keras_model_file` described in "Parameters to Change in Code" (below).
 
-`frontend`: Invokes the HPVM frontend and dumps weights (in HPVM `.bin` format) in the output directory specified. The constructor requires two paths:
+`frontend`: Invokes the HPVM frontend and dumps weights (in HPVM `.bin` format) in the output directory specified. The parameters that control where data and source files are dumped are specified by parameters `data_dir` and `src_dir`, respectively. These are described below.
+
+
+**Parameters to Change in Code** 
+
+The AlexNet source is commented with explanations on how to use the Keras frontend interface. AlexNet source is [here](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/alexnet.py).
+
+* `NAME`: Benchmark Name - Can be set to any desired value
+
+* `reload_dir`: Path to directory from where to reload weights in HPVM format. This directory is used to reload weights if `hpvm_reload` command-line option is used.
+
+* `keras_model_file`: Path to Keras .h5 model file to reload weigths from. Either of `reload_dir` or `keras_model_file` can be used. 
+`keras_model_file` is used when `keras_reload` commad-line parameter is used with the Benchmark script.
 
 * `data_dir`: Directory to dump weights specified specified in [constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L21)
  
 * `src_dir`: Directory to dump ApproxHPVM sources in HPVM-C (C with HPVM compiler intrinsics) specified in [constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L22) 
 
+* `num_classes`: number of output classes - dependent on the dataset used. For CIFAR10, `num_classes` is 10, CIFAR100 has 100 classes,
+ for ImageNet, number of classes is 1000.
+
+* `batch_size`: This parameter controls the size of each batch that is processed in HPVM. The batch size should be kept as large as the GPU memory 
+can support. This parameter should be adapted according to the memory size of the deployed device.
+
 
 
 ### Using the Frontend with Custom (New) Benchmarks