UDEMY 2021 - 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

Understand the theory behind Sequence Modeling

Understand the theory of how Chatbots work

Understand the theory of how Chatbots work

Undertand the theory of how RNNs and LSTMs work

Undertand the theory of how RNNs and LSTMs work

Get Introduced to PyTorch

Implement a Chatbot in PyTorch

Undertand the theory of different Sequence Modeling Applications

Requirements

Some Basic High School Mathematics

Some Basic Programming Knowledge

Some basic Knowledge about Neural Networks

Description

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!

Who this course is for:

Anybody enthusiastic about Deep Learning Applications

Created by Fawaz SammaniLast updated 2/2019EnglishEnglish [Auto-generated]

Size: 3.10 GB

Download File Here

https://www.udemy.com/applied-deep-learning-build-a-chatbot-theory-application/.