How to Build an Amazing Contextual Chatbot using Tensorflow - Part 4 | See Chatbot in Action

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Welcome to "The AI University".

About this video:
This video explains How to Build an Amazing Contextual Chatbot using Tensorflow and more specifically how to build a response processor so that you can converse with Chatbot in real time by asking question. You will get response based on questions you will ask so you will See Chatbot in Action here in this video

Subtitles available in: English

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#Chatbot #AI #Tensorflow
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Sir, what if the sentence given by the user does not meet the given threshold and is not included in any tags? can i give a specific response if it happens? how do i do it?

fazarashif
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Please you have to do the next video.
You have explained it great

ingdanieldelangel
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While dealing with classify function found this error-> Input 0 of layer "dense_7" is incompatible with the layer: expected min_ndim=2, found ndim=1. Full shape received: (None, )

sandipdesai
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Sir, please tell me how can I deploy a model, built using tflearn in a system with TensorFlow lite?

rahulmanna
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I am getting error while using classify and response funcion
error:
----> 1 classify('What are you hours of operation?')

in classify(sentence)
2 def classify(sentence):
3 #generate probabilities from the model
----> 4 results=model.predict([bow(sentence, words)])[0]
5 #filter out predictions below a threshold
6 results=[[i, r] for i, r in enumerate(results) if r>ERROR_THRESHOLD]

NameError: name 'bow' is not defined


can you please help me resolve this probelm

kajalchopda
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Trivia Question from Video: What is
the usage of introducing error_threshold in the response processor ?

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