Advanced Chatbots with Deep Learning and Python - Importing Libraries

The video tutorial covers the process of importing essential libraries and tools for deep learning and NLP tasks. It begins with importing basic libraries like pickle and numpy, followed by Keras and TensorFlow for model and layer management. The tutorial then focuses on importing various layers such as embedding, dense, and dropout, which are crucial for building deep learning models. Additionally, it discusses importing NLP tools like tokenizer and pad sequences, which are vital for text processing. The session concludes with finalizing the imports, setting the stage for developing a chatbot in the subsequent video.

What are the two components related to NLP that are mentioned?

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From which library is the tokenizer imported?

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What issue is encountered when trying to run the code related to pad sequences?

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