Understand the Theory of how Chatbots work and implement them in Python and PyTorch!
In this course, you'll learn the following:
RNNs and LSTMs
Sequence Modeling
PyTorch
Building a Chatbot in PyTorch
We will first cover the theoretical concepts you need to know for building a Chatbot, which include RNNs, LSTMS and Sequence Models with Attention.
Then we will introduce you to PyTorch, a very powerful and advanced deep learning Library. We will show you how to install it and how to work with it and with PyTorch Tensors.
Then we will build our Chatbot in PyTorch!
Please Note an important thing: If you don't have prior knowledge on Neural Networks and how they work, you won't be able to cope well with this course. Please note that this is not a Deep Learning course, it's an Application of Deep Learning, as the course names implies (Applied Deep Learning: Build a Chatbot). The course level is Intermediate, and not Beginner. So please familiarize yourself with Neural Networks and it's concepts before taking this course. If you are already familiar, then your ready to start this journey!
Understand the theory behind Sequence Modeling
Understand the theory of how Chatbots work
Undertand the theory of how RNNs and LSTMs work
7 Lectures
4 Lectures
10 Lectures
5 Lectures
6 Lectures
6 Lectures
1 Lectures
I am a researcher doing my research in Computer Vision. Through out my research period, i have achieved many of my research goals and published multiple research papers. I have three courses, one which provides a complete guide to Image Processing with MATLAB, where you will master the basics of Image Processing and build interfaces for them, another course which...
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丁寧に説明してありわかりやすい。
I loved your simple explanation.. easily understandable... suggesting for all who did not understand attention concept...
simple and point to point explanation ,thank you very much
I like the course
Very clear explanation.
Very Informative
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Tejkumar A.
There was too much coverage of theory and no coverage of the actual example used. There was too much switching context back and forth during most videos, which made learning hard. I was looking forward to chatbot application for the specific dataset used all the way through training and testing, but it ended abruptly by redirecting students to some site