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Chatbots Development with Amazon Lex - Making Utterances
After understanding intents and slots in detail, we will make utterances in our chatbots. We will begin with creating intent and then create an utterance using the sample utterances tab.
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Chatbots Development with Amazon Lex - Twilio and Website
In this video, you will learn about the Twilio application and how it helps Amazon Lex create the chatbot. You will learn to integrate Twilio with Lex. This is the third step for Twilio connectivity and website connectivity.
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Chatbots Development with Amazon Lex - Chatbot Steps
This video provides an in-depth outline of the various steps involved in creating a chatbot with Amazon Lex. We will understand how Amazon Lex connects with Amazon Lambda, Twilio software, and Amazon DynamoDB for storage.
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Chatbots Development with Amazon Lex - Module 2 Overview
This is an introductory video on the concepts to be learned in this module, including chatbot creation steps, AWS Lambda, Twilio, and project creation.
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Chatbots Development with Amazon Lex - Framework of Lex
In this lecture, we will discuss the framework of Amazon Lex and how it functions. We will look at the operation cycle of the Amazon chatbot.
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Chatbots Development with Amazon Lex - Chatbot on Website
This video demonstrates how to use the chatbot that we created on a website. We will look at the available code to implement the chatbot and showcase it on the website. We will use the app, Kommunicate.io.
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Chatbots Development with Amazon Lex - AWS Lambda Steps
In this lesson, you will learn to connect Amazon Lambda with Amazon Lex. Amazon Lambda helps with the validation and fulfillment of the chatbot. You will learn about the steps involved in performing the connectivity.
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Chatbots Development with Amazon Lex - Course Description
This video discusses the concepts to be covered in this course, including Amazon Web Services, Amazon Lex bot, Amazon Twilio, website integration, response cards, and more.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - Introduction
This video introduces the author, the course in general, what to expect from the course, and a brief introduction to Java programming.
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Deep Learning - Crash Course 2023 - Challenges in Creating Deep Neural Networks from Scratch
In this video, we will discuss the challenges involved in creating deep neural networks from scratch. We will explore the common issues faced during the training process and learn how to overcome them. This clip is from the chapter...
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Deep Learning - Crash Course 2023 - Perceptron in Python
In this video, we will work on programming our Perceptron model in Python. This clip is from the chapter "Perceptron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron in Python.
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Deep Learning - Crash Course 2023 - Intuition of Data
In this video, we will have a brief overview of the data for MP intuition. This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to build neural networks...
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Advanced Chatbots with Deep Learning and Python - Answer and Response
After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses.
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Advanced Chatbots with Deep Learning and Python - Vectorize Stories
In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated.
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Advanced Chatbots with Deep Learning and Python - Separation and Sequence
In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts.
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Advanced Chatbots with Deep Learning and Python - Tokenizer
You will learn to import the tokenizer with and without filters. We will fit the tokenizer into our vocabulary using the fit_on_texts built-in command.
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Advanced Chatbots with Deep Learning and Python - Develop Vocabulary
In this video, you will learn to combine the datasets, test data, and train data; we will use the all_data function to combine the datasets.
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Advanced Chatbots with Deep Learning and Python - Data Preparation
We will use the two datasets available for our project, the training QA and the testing QA. We will save them in our project folder and invoke them as needed.
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Advanced Chatbots with Deep Learning and Python - Steps Involved
In this lesson, you will learn about the various steps involved in developing chatbots based on deep learning techniques. We will install the required packages, define chat models and tokenization, and set up the encoder-decoder model.
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SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI - Speech Bubble View - Part 2
In this video, let's create a new view, “SpeechBubbleViewâ€, and pass arguments with the CGFloat function. You will learn to alter the tail size and radius of the bubble and try different values until we find an optimal tail size and...
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SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI - Steppers
In this lesson, we will explore steppers in detail. We will create a SwiftUI view, “StepperExampleViewâ€, to accept user input and display information/messages. This clip is from the chapter "Beyond the Basics" of the series "SwiftUI...
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Solving Equations GCSE Questions
In this video we go through some GCSE style exam practice questions for solving equations. Difficulty increases with each set of questions.
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Linux Network Administration - chronyd - newer Version of NTP
This video explains the chronyd daemon, the latest daemon that is used nowadays to replace the NTP daemon.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Dataset Usage
In this lesson, you will learn to develop our content-based filtering for the song project.