Section 1 : Welcome to the course!
Lecture 1 Get Excited! 00:04:41 Duration
Lecture 2 Applications 00:05:56 Duration
Lecture 3 BONUS Learning Paths
Lecture 4 Some Additional Resources!!
Lecture 5 This PDF resource will help you a lot!
Lecture 6 Your Shortcut To Becoming A Better Data Scienti

Section 2 : Deep NLP Intuition
Lecture 1 What You'll Need For This Module
Lecture 2 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 3 Plan of Attack 00:04:01 Duration
Lecture 4 ypes of Natural Language Processing 00:04:11 Duration
Lecture 5 Classical vs Deep Learning Models 00:11:23 Duration
Lecture 6 End-to-end Deep Learning Models 00:15:34 Duration
Lecture 7 Bag-of-words model 00:17:06 Duration
Lecture 8 Seq2Seq Architecture (Part 1) 00:12:12 Duration
Lecture 9 Seq2Seq Architecture (Part 2)
Lecture 10 Seq2Seq Training 00:11:27 Duration
Lecture 11 Beam Search Decoding 00:09:33 Duration
Lecture 12 Attention Mechanisms (Part 1) 00:16:00 Duration
Lecture 13 Attention Mechanisms (Part 2) 00:10:19 Duration

Section 3 : Building a ChatBot with Deep NLP
Lecture 1 ChatBot - Step 1 00:05:07 Duration
Lecture 2 ChatBot - Step 2 00:10:42 Duration
Lecture 3 ChatBot - Step 3 00:07:52 Duration

Section 4 : PART 1 - DATA PREPROCESSING
Lecture 1 Welcome to Part 1 - Data Preprocessing 00:00:23 Duration
Lecture 2 ChatBot - Step 4 00:02:37 Duration
Lecture 3 ChatBot - Step 5 00:05:23 Duration
Lecture 4 ChatBot - Step 6 00:08:42 Duration
Lecture 5 ChatBot - Step 7 00:10:29 Duration
Lecture 6 ChatBot - Step 8 00:10:08 Duration
Lecture 7 ChatBot - Step 9 00:09:01 Duration
Lecture 8 ChatBot - Step 10 00:05:54 Duration
Lecture 9 ChatBot - Step 11 00:06:40 Duration
Lecture 10 ChatBot - Step 12 00:11:26 Duration
Lecture 11 ChatBot - Step 13
Lecture 12 ChatBot - Step 14 00:05:00 Duration
Lecture 13 ChatBot - Step 15 00:05:13 Duration
Lecture 14 ChatBot - Step 16 00:09:57 Duration
Lecture 15 ChatBot - Step 17 00:14:43 Duration
Lecture 16 Checkpoint!

Section 5 : PART 2 - BUILDING THE SEQ2SEQ MODEL
Lecture 1 What You'll Need For This Module
Lecture 2 Welcome to Part 2 - Building the Seq2Seq Model 00:00:23 Duration
Lecture 3 ChatBot - Step 18 00:08:51 Duration
Lecture 4 ChatBot - Step 19 00:14:14 Duration
Lecture 5 ChatBot - Step 20 00:16:00 Duration
Lecture 6 ChatBot - Step 21 00:20:27 Duration
Lecture 7 ChatBot - Step 22 00:17:41 Duration
Lecture 8 ChatBot - Step 23
Lecture 9 ChatBot - Step 24 00:19:18 Duration
Lecture 10 Checkpoint!

Section 6 : PART 3 - TRAINING THE SEQ2SEQ MODEL
Lecture 1 What You'll Need For This Module
Lecture 2 Welcome to Part 3 - Training the Seq2Seq Model 00:00:23 Duration
Lecture 3 ChatBot - Step 25 00:11:16 Duration
Lecture 4 ChatBot - Step 26 00:01:47 Duration
Lecture 5 ChatBot - Step 27 00:02:00 Duration
Lecture 6 ChatBot - Step 28 00:03:32 Duration
Lecture 7 ChatBot - Step 29 00:02:42 Duration
Lecture 8 ChatBot - Step 30 00:07:10 Duration
Lecture 9 ChatBot - Step 31 00:12:56 Duration
Lecture 10 ChatBot - Step 32 00:09:24 Duration
Lecture 11 ChatBot - Step 33 00:12:41 Duration
Lecture 12 About Certification
Lecture 13 ChatBot - Step 35 00:20:34 Duration
Lecture 14 ChatBot - Step 36 00:07:56 Duration
Lecture 15 Checkpoint!

Section 7 : PART 4 - TESTING THE SEQ2SEQ MODEL
Lecture 1 What You'll Need For This Module
Lecture 2 Welcome to Part 4 - Testing the Seq2Seq Model 00:00:23 Duration
Lecture 3 ChatBot - Step 37
Lecture 4 ChatBot - Step 38 00:03:14 Duration
Lecture 5 ChatBot - Step 39 00:15:09 Duration
Lecture 6 ChatBot - Step 40
Lecture 7 Checkpoint!
Lecture 8 Training the ChatBot on Google Colab with GPU

Section 8 : PART 5 - IMPROVING & TUNING THE SEQ2SEQ
Lecture 1 ChatBot - Step 41 Improving & Tuning the ChatB
Lecture 2 ChatBot - Step 42 Introduction to a new model 00:03:13 Duration
Lecture 3 ChatBot - Step 43 Chatbot model discussion 00:07:58 Duration
Lecture 4 ChatBot - Step 44 Tensorboard 00:04:05 Duration
Lecture 5 ChatBot - Step 45 Run the new chatbot model 00:04:02 Duration

Section 9 : Other ChatBot Implementations
Lecture 1 What You'll Need For This Module
Lecture 2 The Best ChatBot
Lecture 3 A ChatBot Implementation in TensorFlow 1.4
Lecture 4 A ChatBot Implementation in PyTorch
Lecture 5 About Proctor Testing

Section 10 : Annex 1 Artificial Neural Networks
Lecture 1 Plan of Attack 00:02:52 Duration
Lecture 2 The Neuron 00:16:15 Duration
Lecture 3 The Activation Function 00:08:29 Duration
Lecture 4 How do Neural Networks work 00:12:48 Duration
Lecture 5 How do Neural Networks learn 00:12:59 Duration
Lecture 6 Gradient Descent 00:10:13 Duration
Lecture 7 Stochastic Gradient Descent 00:08:45 Duration
Lecture 8 Backpropagation 00:05:22 Duration

Section 11 : Annex 2 Recurrent Neural Networks
Lecture 1 Plan of Attack 00:02:32 Duration
Lecture 2 What are Recurrent Neural Networks 00:16:02 Duration
Lecture 3 Vanishing Gradient Problems for RNNs 00:14:27 Duration
Lecture 4 Long Short Term Memory 00:19:48 Duration
Lecture 5 Practical Intuition 00:15:11 Duration
Lecture 6 Long Short Term Memory Variations 00:03:37 Duration