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What you'll get

  • Govt. Verified Certification
  • Job Credibility
  • Certification Valid for Life
  • Lifetime Access To E-learning

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking

Course Content

Total: 37 lectures
  • Introduction
  • Tokenization
  • Stemming
  • Lemmatization
  • Vectorization
  • Word Embedding
  • Named Entity Recognition
  • Text Classification
  • Understanding Retrieval-Based Chatbots
  • Choosing the Ideal Similarity Measures
  • Preparing Data for Your First Retrieval Chatbot
  • Building Your First Functional Chatbot
  • Implementing Linear Models
  • Transitioning from Linear Models to Nonlinear Neural Networks
  • Understanding Overfitting and Regularization
  • Training Word2vec Models
  • Deploying Recurrent Neural Networks (RNNs)
  • Applying LSTM to Named Entity Recognition
  • Text Classification Using LSTM
  • Understanding Generative Chatbots
  • Incorporating Sequence2Sequence Models
  • Preparing Data for the Model
  • Preprocessing the Data
  • Building the Encoder
  • Building the Decoder
  • Training and Evaluating the Model
  • Deploying the Chatbot
  • Understanding Attention
  • Attention Mechanisms in Images
  • Soft versus Hard Attention
  • Implementing Attention
  • Adding Attention to Our seq2seq Model
  • Training and Evaluating the Model
  • What Is Context?
  • Comparing States and Transitions
  • Complete System Overview
  • Building a Contextually Aware System

Description

You are welcome to the course, "Certified Interactive Chatbots with TensorFlow" where you will be shown how to design chat bots based on two models. Chatbots reduce the need for human costs and efforts. You will learn to create chatbots without looking for databases. You can use your imagination to create a boy which will reply and answer at any time.

In this course, you will be taught about NLP practices for chatbot developments like the introduction about it, what is tokenization, Stemming, Lemmatization, Vectorization, Word Embedding, Named Entity Recognition, text Classification. You will also learn how to build and understand Retrieval based chatbot. You will also know what to choose the Ideal Similarity Measures, you can prepare Data for Your First Retrieval Chatbot and Build Your First Functional Chatbot.

You can integrate your neural networks like:

  • Implementing Linear Models
  • Transitioning from Linear Models to Nonlinear Neural Networks
  • Understanding Overfitting and Regularization
  • Training Word2vec Models
  • Deploying Recurrent Neural Networks (RNNs)
  • Applying LSTM to Named Entity Recognition
  • Text Classification Using LSTM

Generative chatbots including understanding it,

incorporating Sequence to Sequence Models, preparing Data for the Model, pre-processing the Data, Building the Encoder, Decoder, Training and Evaluating the Model and Deploying the Chatbot.

Throughout the course you can make your chatbot attentive like understanding Attention, their Mechanisms in Images, Soft versus Hard Attention, implementing Attention, Adding Attention to Our seq2seq Model and Training and Evaluating the Model.

You will also learn Contextual generative chatbots.

When you will come at the end of the course, you’ll comfortably implement the power of NLP to create high performing day to day apps and interactive chat bots. This course is for data analysts, aspiring data science professionals , programming enthusiasts, people learning computer science. Developers, researchers who are interested in creating chatbots using TensorFlow can also take this course.

For this course you need no prior understanding except some programming of python.

You will get lifetime access to this course and job opportunities will come in front of your door which will make your future secure. So don't wait further and get started with TensorFlow.

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