Applied Deep Learning: Build a Chatbot – Theory, Application - FTD

Applied Deep Learning: Build a Chatbot – Theory, Application

Understand the Theory of how Chatbots work and implement them in Python and PyTorch!

What you’ll learn

Applied Deep Learning: Build a Chatbot – Theory, Application

Understand the theory behind Sequence Modeling
Understand the theory of how Chatbots work
Understand the theory of how RNNs and LSTMs work
Get Introduced to PyTorch
Implement a Chatbot in PyTorch
Understand the theory of different Sequence Modeling Applications

Requirements

Some Basic High School Mathematics
Some Basic Programming Knowledge
Some basic knowledge about Neural Networks

Description

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 includes 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 of 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 name implies (

Applied Deep Learning

: Build a Chatbot). The course level is

Intermediate

and not Beginner. So please familiarize yourself with Neural Networks and their concepts before taking this course. If you are already familiar, then you ready to start this journey!