Section 1 : Welcome to the course!

Lecture 1 Get Excited! 4:41
Lecture 2 Applications 5:56
Lecture 3 BONUS Learning Paths Pdf
Lecture 4 Some Additional Resources!! Pdf
Lecture 5 This PDF resource will help you a lot! Text
Lecture 6 Your Shortcut To Becoming A Better Data Scienti Pdf

Section 2 : Deep NLP Intuition

Lecture 7 What You'll Need For This Module Pdf
Lecture 8 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 9 Plan of Attack 4:1
Lecture 10 ypes of Natural Language Processing 4:11
Lecture 11 Classical vs Deep Learning Models 11:23
Lecture 12 End-to-end Deep Learning Models 15:34
Lecture 13 Bag-of-words model 17:6
Lecture 14 Seq2Seq Architecture (Part 1) 12:12
Lecture 15 Seq2Seq Architecture (Part 2) Pdf
Lecture 16 Seq2Seq Training 11:27
Lecture 17 Beam Search Decoding 9:33
Lecture 18 Attention Mechanisms (Part 1) 16:0
Lecture 19 Attention Mechanisms (Part 2) 10:19

Section 3 : Building a ChatBot with Deep NLP

Lecture 20 ChatBot - Step 1 5:7
Lecture 21 ChatBot - Step 2 10:42
Lecture 22 ChatBot - Step 3 7:52

Section 4 : PART 1 - DATA PREPROCESSING

Lecture 23 Welcome to Part 1 - Data Preprocessing 0:23
Lecture 24 ChatBot - Step 4 2:37
Lecture 25 ChatBot - Step 5 5:23
Lecture 26 ChatBot - Step 6 8:42
Lecture 27 ChatBot - Step 7 10:29
Lecture 28 ChatBot - Step 8 10:8
Lecture 29 ChatBot - Step 9 9:1
Lecture 30 ChatBot - Step 10 5:54
Lecture 31 ChatBot - Step 11 6:40
Lecture 32 ChatBot - Step 12 11:26
Lecture 33 ChatBot - Step 13 Pdf
Lecture 34 ChatBot - Step 14 5:0
Lecture 35 ChatBot - Step 15 5:13
Lecture 36 ChatBot - Step 16 9:57
Lecture 37 ChatBot - Step 17 14:43
Lecture 38 Checkpoint! Text

Section 5 : PART 2 - BUILDING THE SEQ2SEQ MODEL

Lecture 39 What You'll Need For This Module Pdf
Lecture 40 Welcome to Part 2 - Building the Seq2Seq Model 0:23
Lecture 41 ChatBot - Step 18 8:51
Lecture 42 ChatBot - Step 19 14:14
Lecture 43 ChatBot - Step 20 16:0
Lecture 44 ChatBot - Step 21 20:27
Lecture 45 ChatBot - Step 22 17:41
Lecture 46 ChatBot - Step 23 Pdf
Lecture 47 ChatBot - Step 24 19:18
Lecture 48 Checkpoint! Text

Section 6 : PART 3 - TRAINING THE SEQ2SEQ MODEL

Lecture 49 What You'll Need For This Module Pdf
Lecture 50 Welcome to Part 3 - Training the Seq2Seq Model 0:23
Lecture 51 ChatBot - Step 25 11:16
Lecture 52 ChatBot - Step 26 1:47
Lecture 53 ChatBot - Step 27 2:0
Lecture 54 ChatBot - Step 28 3:32
Lecture 55 ChatBot - Step 29 2:42
Lecture 56 ChatBot - Step 30 7:10
Lecture 57 ChatBot - Step 31 12:56
Lecture 58 ChatBot - Step 32 9:24
Lecture 59 ChatBot - Step 33 12:41
Lecture 60 About Certification Pdf
Lecture 61 ChatBot - Step 35 20:34
Lecture 62 ChatBot - Step 36 7:56
Lecture 63 Checkpoint! Text

Section 7 : PART 4 - TESTING THE SEQ2SEQ MODEL

Lecture 64 What You'll Need For This Module Pdf
Lecture 65 Welcome to Part 4 - Testing the Seq2Seq Model 0:23
Lecture 66 ChatBot - Step 37 Pdf
Lecture 67 ChatBot - Step 38 3:14
Lecture 68 ChatBot - Step 39 15:9
Lecture 69 ChatBot - Step 40 Text
Lecture 70 Checkpoint! Text
Lecture 71 Training the ChatBot on Google Colab with GPU Pdf

Section 8 : PART 5 - IMPROVING & TUNING THE SEQ2SEQ

Lecture 72 ChatBot - Step 41 Improving & Tuning the ChatB Pdf
Lecture 73 ChatBot - Step 42 Introduction to a new model 3:13
Lecture 74 ChatBot - Step 43 Chatbot model discussion 7:58
Lecture 75 ChatBot - Step 44 Tensorboard 4:5
Lecture 76 ChatBot - Step 45 Run the new chatbot model 4:2

Section 9 : Other ChatBot Implementations

Lecture 77 What You'll Need For This Module Pdf
Lecture 78 The Best ChatBot Pdf
Lecture 79 A ChatBot Implementation in TensorFlow 1.4 Text
Lecture 80 A ChatBot Implementation in PyTorch Text
Lecture 81 About Proctor Testing Pdf

Section 10 : Annex 1 Artificial Neural Networks

Lecture 82 Plan of Attack 2:52
Lecture 83 The Neuron 16:15
Lecture 84 The Activation Function 8:29
Lecture 85 How do Neural Networks work 12:48
Lecture 86 How do Neural Networks learn 12:59
Lecture 87 Gradient Descent 10:13
Lecture 88 Stochastic Gradient Descent 8:45
Lecture 89 Backpropagation 5:22

Section 11 : Annex 2 Recurrent Neural Networks

Lecture 90 Plan of Attack 2:32
Lecture 91 What are Recurrent Neural Networks 16:2
Lecture 92 Vanishing Gradient Problems for RNNs 14:27
Lecture 93 Long Short Term Memory 19:48
Lecture 94 Practical Intuition 15:11
Lecture 95 Long Short Term Memory Variations 3:37