33. Experiment a lot!
• Hyperparameter tunning: learning rate, hidden layer size etc
• Changing model architecture
• Better test set
• Evaluation metric: Accuracy, F1 score
34. NLU
Deep Learning in Real World
Reason of delay : Salary issue
Promised date: 2nd February
Sentiment: Neutral
“Due to delay in
salary I am not able
to pay EMI. I will pay
by tomorrow“
35. Building Dataset
• Mimic real world scenario
Expectation: Yes I will pay
Reality : Mam ok mam I pay
• Unbiased
36. Production Challenges
1.ASR issue
Yes tell me Airtel me
2.Scalling
3.Changing user behavior
“Diwali is coming got other bills to pay. Will pay next month”
“My mother got omicron. Need more time”