Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: I
Interactive Video
•
Information Technology (IT), Architecture, Social Studies
•
University
•
Practice Problem
•
Hard
Wayground Content
FREE Resource
The video tutorial covers the process of importing essential libraries and modules for deep learning and NLP tasks. It begins with basic libraries like pickle and numpy, then moves on to Keras and TensorFlow for model building. Various layers such as embedding, input, activation, and LSTM are imported for constructing deep learning models. The tutorial also includes importing NLP tools like tokenizer and pad_sequences, preparing for the development of a chatbot in the next video.
Read more
3 questions
Show all answers
1.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the two components related to NLP that are mentioned?
Evaluate responses using AI:
OFF
2.
OPEN ENDED QUESTION
3 mins • 1 pt
From which library is the tokenizer imported?
Evaluate responses using AI:
OFF
3.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the last thing that is mentioned to be needed for the project?
Evaluate responses using AI:
OFF
Access all questions and much more by creating a free account
Create resources
Host any resource
Get auto-graded reports
Continue with Google
Continue with Email
Continue with Classlink
Continue with Clever
or continue with
Microsoft
%20(1).png)
Apple
Others
Already have an account?
