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…
publication date
2023-02-28
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
key features
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
approach
The course is crafted to help you understand the impact of chatbots in real-world applications and provides a unique hands-on experience using a project. This course is easily understandable, with engaging content covering necessary theoretical concepts, a practical approach with live coding, and an in-depth project covering the complete course content.
audience
This course is designed for individuals looking to advance their skills in applied deep learning, acquire knowledge regarding the relationships of data analysis with deep learning, wish to build customized chatbots for their applications, learn to implement deep learning algorithms for chatbots, and are passionate about rule-based and self-learning chatbots. Deep learning practitioners/scholars working on chatbot concepts would benefit from this course. No prior knowledge of chatbots, deep learning, data analysis, or mathematics is needed. Basic to intermediate Python knowledge is required.
short description
This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.
subtitle
Let's understand all about chatbots and develop a self-learning chatbot with deep learning and Python
keywords
conventional chatbots, deep learning-based chatbots, recurrent neural network, Encoder-Decoder, testing and validating chatbot, RNN-based model development
Product ISBN
9781837632534
