Explore the research and development process of creating a deep learning chatbot in this informative video. Dive into the experimentation with scored outputs from over 20 models to determine optimal answer selection. Learn about neural networks from scratch, examine chat response samples, and gain insights into content starvation, model building, dictionary creation, and output analysis. Discover techniques for handling repetition, sorting responses, and identifying top-performing answers. Follow along as the presenter demonstrates practical applications and shares valuable resources for further learning in the field of deep learning and chatbot development.
Overview
Syllabus
Intro
Content starvation
The model
Single model
Outputs
Building the dictionary
Printing the dictionary
Testing the dictionary
Repetition
Length
Sorting
I count
Top end responses
Print K for K
Print N
Print Answers
Watch House
Top Responses
Taught by
sentdex
