diff --git a/prediction_techniques/README.md b/prediction_techniques/README.md
index b69fdf4d4bf..0e4a2e7c982 100644
--- a/prediction_techniques/README.md
+++ b/prediction_techniques/README.md
@@ -94,7 +94,7 @@ usage: regression -p N_POLYNOMIAL [-i N_INPUTS] [-d N_DAYS] [-j N_JUMPS]
## arima
```
-usage: arima [-d N_DAYS] [-i {aic,aicc,bic,hqic,oob}] [-s] [-o S_ORDER] [-r]
+usage: arima [-d N_DAYS] [-i {aic,aicc,bic,hqic,oob}] [-s] [-r] [-o S_ORDER]
```
* -d : prediciton days. Default 5.
* -i : information criteria - used if auto_arima library is invoked. Default aic.
@@ -116,14 +116,47 @@ usage: fbprophet [-d N_DAYS]

## mlp
+```
+usage: mlp [-d N_DAYS] [-i N_INPUTS] [-j N_JUMPS] [-e N_EPOCHS] [-p {normalization,standardization,none}]
+[-o {adam,adagrad,adadelta,adamax,ftrl,nadam,optimizer,rmsprop,sgd}] [-l {mae,mape,mse,msle}]
+```
+ * -d : prediciton days. Default 5.
+ * -i : number of days to use for prediction. Default 40.
+ * -j : number of jumps in training data. Default 1.
+ * -e : number of training epochs. Default 200.
+ * -p : pre-processing data. Default normalization.
+ * -o : optimization technique. Default adam.
+ * -l : loss function. Default mae.

## rnn
+```
+usage: rnn [-d N_DAYS] [-i N_INPUTS] [-j N_JUMPS] [-e N_EPOCHS] [-p {normalization,standardization,none}]
+[-o {adam,adagrad,adadelta,adamax,ftrl,nadam,optimizer,rmsprop,sgd}] [-l {mae,mape,mse,msle}]
+```
+ * -d : prediciton days. Default 5.
+ * -i : number of days to use for prediction. Default 40.
+ * -j : number of jumps in training data. Default 1.
+ * -e : number of training epochs. Default 200.
+ * -p : pre-processing data. Default normalization.
+ * -o : optimization technique. Default adam.
+ * -l : loss function. Default mae.

## lstm
+```
+usage: lstm [-d N_DAYS] [-i N_INPUTS] [-j N_JUMPS] [-e N_EPOCHS] [-p {normalization,standardization,none}]
+[-o {adam,adagrad,adadelta,adamax,ftrl,nadam,optimizer,rmsprop,sgd}] [-l {mae,mape,mse,msle}]
+```
+ * -d : prediciton days. Default 5.
+ * -i : number of days to use for prediction. Default 40.
+ * -j : number of jumps in training data. Default 1.
+ * -e : number of training epochs. Default 200.
+ * -p : pre-processing data. Default normalization.
+ * -o : optimization technique. Default adam.
+ * -l : loss function. Default mae.
