#deepnaturallanguage

Learn the Theory and How to implement state of the art Deep Natural Language Processing models in Tensorflow and Python. Deep Learning and NLP A-Z™: How to create a ChatBot What you’ll learn: Why this is importantTypes of Natural Language ProcessingClassical vs. Deep Learning ModelsEnd to End Deep Learning ModelsSeq2Seq Architecture & TrainingBeam Search Decoding Requirements: Just some high school mathematics levelBasic Python programming knowledge Deep Learning and NLP A-Z™: How to create a ChatBot Description: 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! Who this course is for: Any students in college who want to start a career in Data Science Any Data Science enthusiast Anyone interested in creating their own ChatBot Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning and its applications Who is the target audience? Any students in college who want to start a career in Data ScienceAny Data Science enthusiastAnyone interested in creating their own ChatBotAnyone interested in Artificial Intelligence, Machine Learning or Deep Learning and its applications Course content for Deep Learning and NLP A-Z™: How to create a ChatBot: Total Lecture:89 Get Excited! Applications BONUS: Learning Paths Some Additional Resources!! This PDF resource will help you a lot! What You'll Need For This Module Updates on Udemy Reviews Plan of Attack Types of Natural Language Processing Classical vs Deep Learning Models End-to-end Deep Learning Models Bag-of-words model Seq2Seq Architecture (Part 1) Seq2Seq Architecture (Part 2) Seq2Seq Training Beam Search Decoding Attention Mechanisms (Part 1) Attention Mechanisms (Part 2) ChatBot - Step 1 ChatBot - Step 2 ChatBot - Step 3 Welcome to Part 1 - Data Preprocessing ChatBot - Step 4 ChatBot - Step 5 ChatBot - Step 6 ChatBot - Step 7 ChatBot - Step 8 ChatBot - Step 9 ChatBot - Step 10 ChatBot - Step 11 ChatBot - Step 12 ChatBot - Step 13 ChatBot - Step 14 ChatBot - Step 15 ChatBot - Step 16 ChatBot - Step 17 Checkpoint! What You'll Need For This Module Welcome to Part 2 - Building the Seq2Seq Model ChatBot - Step 18 ChatBot - Step 19 ChatBot - Step 20 ChatBot - Step 21 ChatBot - Step 22 ChatBot - Step 23 ChatBot - Step 24 Checkpoint! What You'll Need For This Module Welcome to Part 3 - Training the Seq2Seq Model ChatBot - Step 25 ChatBot - Step 26 ChatBot - Step 27 ChatBot - Step 28 ChatBot - Step 29 ChatBot - Step 30 ChatBot - Step 31 ChatBot - Step 32 ChatBot - Step 33 ChatBot - Step 34 ChatBot - Step 35 ChatBot - Step 36 Checkpoint! What You'll Need For This Module Welcome to Part 4 - Testing the Seq2Seq Model ChatBot - Step 37 ChatBot - Step 38 ChatBot - Step 39 ChatBot - Step 40 Checkpoint! Training the ChatBot on Google Colab with GPU ChatBot - Step 41: Improving & Tuning the ChatBot ChatBot - Step 42: Introduction to a new model & setup ChatBot - Step 43: Chatbot model discussion ChatBot - Step 44: Tensorboard ChatBot - Step 45: Run the new chatbot model What You'll Need For This Module The Best ChatBot A ChatBot Implementation in TensorFlow 1.4 A ChatBot Implementation in PyTorch THANK YOU bonus video Plan of Attack The Neuron The Activation Function How do Neural Networks work? How do Neural Networks learn? Gradient Descent Stochastic Gradient Descent Backpropagation 2 more sections Deep Learning and NLP A-Z™: How to create a ChatBot course Read the full article