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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