Notes - Life cycle of LSTM - Keras

Notes.md

@@ -33,10 +33,17 @@
  - Stochastic Gradient Descent - 'sgd'
  - Adam - 'adam'
  - RMSprop - 'rmsprop'
+ - Metrics: ['accuracy']
  - Fit Network
- - 
+ - X, y, batch size and epochs are some of the parameters.
+ - Example:
+ - model.fit(X, y, batch_size=10, epochs=100, verbose=0)
  - Evaluate Network
+ - Evaluating the trained model.
+ - loss, accuracy = model.evaluate(X, y, verbose=0)
  - Make Predictions
+ - Make predictions on new data
+ - predictions = model.predict(X)
 
 
 ### References: