Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: I

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.

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 is the last thing that is mentioned to be needed for the project?

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