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We’ve talked about, speculated and often seen different applications for Artificial Intelligence – But what about one piece of technology that will not only gather relevant information, better customer service and could even differentiate your business from the crowd?

 

ChatBots are here, and they came change and shape-shift how we’ve been conducting online business. Fortunately technology has advanced enough to make this a valuable tool something accessible that almost anybody can learn how to implement.

 

If you want to learn one of the most attractive, customizable and cutting edge pieces of technology available, then this course is just for you!

Course Curriculum

1.1 Get Excited!
1.1 Get Excited! 00:00:00
1.2 Applications
1.2 Applications 00:00:00
1.3 Some Additional Resources!!
1.3 Some Additional Resources!! 00:00:00
2.1 Plan of Attack
2.1 Plan of Attack 00:00:00
2.2 Types of Natural Language Processing
2.2 Types of Natural Language Processing 00:00:00
2.3 Classical vs Deep Learning Models
2.3 Classical vs Deep Learning Models 00:00:00
2.4 End-to-end Deep Learning Models
2.4 End-to-end Deep Learning Models 00:00:00
2.5 Bag-of-words model
2.5 Bag-of-words model 00:00:00
2.6 Seq2Seq Architecture (Part 1)
2.6 Seq2Seq Architecture (Part 1) 00:00:00
2.7 Seq2Seq Architecture (Part 2)
2.7 Seq2Seq Architecture (Part 2) 00:00:00
2.8 Seq2Seq Training
2.8 Seq2Seq Training 00:00:00
2.9 Beam Search Decoding
2.9 Beam Search Decoding 00:00:00
2.10 Attention Mechanisms (Part 1)
2.10 Attention Mechanisms (Part 1) 00:00:00
2.11 Attention Mechanisms (Part 2)
2.11 Attention Mechanisms (Part 2) 00:00:00
3.1 ChatBot - Step 1
3.1 ChatBot – Step 1 00:00:00
3.2 ChatBot - Step 2
3.2 ChatBot – Step 2 00:00:00
3.3 ChatBot - Step 3
3.3 ChatBot – Step 3 00:00:00
4.1 Welcome to Part 1 - Data Preprocessing
4.1 Welcome to Part 1 – Data Preprocessing 00:00:00
4.2 ChatBot - Step 4
4.2 ChatBot – Step 4 00:00:00
4.3 ChatBot - Step 5
4.3 ChatBot – Step 5 00:00:00
4.4 ChatBot - Step 6
4.4 ChatBot – Step 6 00:00:00
4.5 ChatBot - Step 7
4.5 ChatBot – Step 7 00:00:00
4.6 ChatBot - Step 8
4.6 ChatBot – Step 8 00:00:00
4.7 ChatBot - Step 9
4.7 ChatBot – Step 9 00:00:00
4.8 ChatBot - Step 10
4.8 ChatBot – Step 10 00:00:00
4.9 ChatBot - Step 11
4.9 ChatBot – Step 11 00:00:00
4.10 ChatBot - Step 12
4.10 ChatBot – Step 12 00:00:00
4.11 ChatBot - Step 13
4.11 ChatBot – Step 13 00:00:00
4.12 ChatBot - Step 14
4.12 ChatBot – Step 14 00:00:00
4.13 ChatBot - Step 15
4.13 ChatBot – Step 15 00:00:00
4.14 ChatBot - Step 16
4.14 ChatBot – Step 16 00:00:00
4.15 ChatBot - Step 17
4.15 ChatBot – Step 17 00:00:00
4.16 Checkpoint!
4.16 Checkpoint! 00:00:00
5.1 Welcome to Part 2 - Building the Seq2Seq Model
5.1 Welcome to Part 2 – Building the Seq2Seq Model 00:00:00
5.2 ChatBot - Step 18
5.2 ChatBot – Step 18 00:00:00
5.3 ChatBot - Step 19
5.3 ChatBot – Step 19 00:00:00
5.4 ChatBot - Step 20
5.4 ChatBot – Step 20 00:00:00
5.5 ChatBot - Step 21
5.5 ChatBot – Step 21 00:00:00
5.6 ChatBot - Step 22
5.6 ChatBot – Step 22 00:00:00
5.7 ChatBot - Step 23
5.7 ChatBot – Step 23 00:00:00
5.8 ChatBot - Step 24
5.8 ChatBot – Step 24 00:00:00
5.9 Checkpoint!
5.9 Checkpoint! 00:00:00
6.1 Welcome to Part 3 - Training the Seq2Seq Model
6.1 Welcome to Part 3 – Training the Seq2Seq Model 00:00:00
6.2 ChatBot - Step 25
6.2 ChatBot – Step 25 00:00:00
6.3 ChatBot - Step 26
6.3 ChatBot – Step 26 00:00:00
6.4 ChatBot - Step 27
6.4 ChatBot – Step 27 00:00:00
6.5 ChatBot - Step 28
6.5 ChatBot – Step 28 00:00:00
6.6 ChatBot - Step 29
6.6 ChatBot – Step 29 00:00:00
6.7 ChatBot - Step 30
6.7 ChatBot – Step 30 00:00:00
6.8 ChatBot - Step 31
6.8 ChatBot – Step 31 00:00:00
6.9 ChatBot - Step 32
6.9 ChatBot – Step 32 00:00:00
6.10 ChatBot - Step 33
6.10 ChatBot – Step 33 00:00:00
6.11 ChatBot - Step 34
6.11 ChatBot – Step 34 00:00:00
6.12 ChatBot - Step 35
6.12 ChatBot – Step 35 00:00:00
6.13 ChatBot - Step 36
6.13 ChatBot – Step 36 00:00:00
6.14 Checkpoint!
6.14 Checkpoint! 00:00:00
7.1 Welcome to Part 4 - Testing the Seq2Seq Model
7.1 Welcome to Part 4 – Testing the Seq2Seq Model 00:00:00
7.2 ChatBot - Step 37
7.2 ChatBot – Step 37 00:00:00
7.3 ChatBot - Step 38
7.3 ChatBot – Step 38 00:00:00
7.4 ChatBot - Step 39
7.4 ChatBot – Step 39 00:00:00
7.5 ChatBot - Step 40
7.5 ChatBot – Step 40 00:00:00
7.6 Checkpoint!
7.6 Checkpoint! 00:00:00
8.1 The Best ChatBot
8.1 The Best ChatBot 00:00:00
8.2 The Best ChatBot Resources
8.2 The Best ChatBot Resources 00:00:00
8.3 A ChatBot Implementation in TensorFlow 1.4
8.3 A ChatBot Implementation in TensorFlow 1.4 00:00:00
8.4 A ChatBot Implementation in PyTorch
8.4 A ChatBot Implementation in PyTorch 00:00:00
9.1 Plan of Attack
9.1 Plan of Attack 00:00:00
9.2 The Neuron
9.2 The Neuron 00:00:00
9.3 The Activation Function
9.3 The Activation Function 00:00:00
9.4 How do Neural Networks work
9.4 How do Neural Networks work 00:00:00
9.5 How do Neural Networks learn
9.5 How do Neural Networks learn 00:00:00
9.6 Gradient Descent
9.6 Gradient Descent 00:00:00
9.7 Stochastic Gradient Descent
9.7 Stochastic Gradient Descent 00:00:00
9.8 Backpropagation
9.8 Backpropagation 00:00:00
10.1 Plan of attack
10.1 Plan of attack 00:00:00
10.2 What are Recurrent Neural Networks
10.2 What are Recurrent Neural Networks 00:00:00
10.3 Vanishing Gradient Problems for RNNs
10.3 Vanishing Gradient Problems for RNNs 00:00:00
10.4 Long Short Term Memory
10.4 Long Short Term Memory 00:00:00
10.5 Practical Intuition
10.5 Practical Intuition 00:00:00
10.6 Long Short Term Memory Variations
10.6 Long Short Term Memory Variations 00:00:00

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