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\nChatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorize Stories\n

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\nIn this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated. This clip is from the chapter...\nIn this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated.

This clip is from the chapter \"Advanced Chatbots with Deep Learning and Python\" of the series \"Chatbots for Beginners: A Complete Guide to Build Chatbots\".This section focuses on the basics of chatbots, how deep learning benefits chatbots, conventional versus AI chatbots, the use of chatbots in the medical field, and the use of chatbots in business and ecommerce.\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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9:39
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Grade
Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nPackt - Web Development\n\n
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Date
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2023
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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length, data, stories, questions, vector
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Additional Tags

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chatbot, machine learning, deep learning, document-frequency, conventional chatbot, self-learning chatbot, amazon lex, amazon lambda, amazon web services, pair sequence, lower case, maximum length, word index, write query, word, write, indices, answer, smaller, function, answers, enter, bigger, question, return, story, calculated, equal, thing, step, queue, loop, basis, tokens
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Classroom Considerations

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Best For: Explaining a topic
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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorize Stories\" href=\"/subscription/new\">\"Chatbots\n\n
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