Advanced Chatbots with Deep Learning and Python: Let’s understand all about chatbots and develop a self-learning chatbot with deep learning and Python [Video]
Learn basic to advanced mechanisms of developing chatbots using deep learning with Python
Use Python to evaluate datasets based on conversational notes, online resources, and websites
Explore conventional/self-learning chatbots in action and chatbot development with deep learning
Description
AI-powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. In this course about developing advanced chatbots with deep learning, we will understand their applications and build from scratch using deep learning with Python.
The course begins with a brief overview and the fundamentals of deep learning for chatbots. We will understand and compare conventional chatbots with deep learning-based chatbots. Then, we will explore self-learning chatbots, including generative chatbots and retrieval chatbots. You will learn more about deep learning-empowered chatbot features and compare and distinguish the abilities of conventional chatbots and self-learning chatbots in real action. We will focus on chatbot development with deep learning, tokenization, setting up an Encoder-Decoder, implementing RNN-based model development, and finally, training, testing, and validating the chatbot we developed.
Upon completing this course successfully, you will relate concepts and understand theories of chatbots in various domains, understand and implement deep learning models for building real-world chatbots, and evaluate deep learning-based chatbot models.
All resources are available at: https://github.com/PacktPublishing/Advanced-Chatbots-with-Deep-Learning-Python
What you will learn
Relate the concepts and theories for chatbots in various domains
Compare conventional chatbots with deep learning-based chatbots
Understand deep learning algorithms for chatbots
Implement deep learning models for building real-world chatbots
Learn about tokenization and setting up an encoder-decoder
Implement recurrent neural network-based model development
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