Deep Learning And NLP A-Z™: How To Create A ChatBot





What do you want to learn

  • Why its matters.
  • Types of Natural Language Operations
  • Classical Model vs. Deep Learning Model
  • Examples of End-to-Study Studies
  • Seq2Seq Architecture and Training
  • Beam search code

Needs for course:

Only high school numbers
Basic information of Python
Describe
We talked and guessed, and we often saw various applications of artificial intelligence. But what about technology that can not only collect accurate information, improve customer service, and even isolate your business from others?




Chat bots exist, and they have changed the way we do business online. Fortunately, technology has advanced enough to make this valuable tool available, and almost anyone can learn how to use it.

If you want to learn the smartest, cheapest and most advanced technology, this tutorial is for you!

Who is this course for:

  • Any undergraduate students who want to start a career in data science.
  • Anyone interested in data science
  • Anyone interested in creating your own chatbot
  • Anyone interested in artificial intelligence, machine learning, or the in-depth study of their processes.
Course content
12 sections • 96 lectures • 12h 9m total length
Preview
05:12
Preview
05:56
BONUS: Learning Paths
00:33
Some Additional Resources!!
00:14
This PDF resource will help you a lot!
00:32
Your Shortcut To Becoming A Better Data Scientist!
02:05
What You'll Need For This Module
00:10
Updates on Udemy Reviews
01:09
Plan of Attack
04:00
Classical vs Deep Learning Models
11:22
End-to-end Deep Learning Models
15:33
Preview
17:05
Seq2Seq Architecture (Part 1)
12:11
Seq2Seq Architecture (Part 2)
11:57
Seq2Seq Training
11:27
Beam Search Decoding
09:33
Attention Mechanisms (Part 1)
15:59
Attention Mechanisms (Part 2)
10:18
What You'll Need For This Module
00:10
The Best ChatBot
16:08
A ChatBot Implementation in TensorFlow 1.4
00:10
A ChatBot Implementation in PyTorch
00:16
THANK YOU bonus video
02:40
Plan of Attack
02:51
The Neuron
16:15
The Activation Function
08:29
How do Neural Networks work?
12:47
How do Neural Networks learn?
12:58
Gradient Descent
10:12
Stochastic Gradient Descent
08:44
Backpropagation
05:21
Plan of Attack
02:32
What are Recurrent Neural Networks?
16:01
Vanishing Gradient Problems for RNNs
14:27
Long Short Term Memory
19:47
Practical Intuition
15:11
Long Short Term Memory Variations
03:36
***YOUR SPECIAL BONUS***
00:31




Here is the download links

https://www.udemy.com/course/chatbot/.
https://drive.google.com/file/d/1ZtrkS40cdK03w2k42Ih7cf15g6x6gAdQ/view?usp=sharing
copy the link and past it in url
Dear visitor if you find any broken link please mention it in post comments thanks you can join over whatsapp group https://chat.whatsapp.com/BzcpKXnUk9VEflwS8vEr0v

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