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Learn Java from Scratch - A Beginner's Guide - Step 03 - JDBC to Spring JDBC to JPA to Spring Data JPA – 10,000 Feet Overview
In this video, let's take a look at JDBC, Spring JDBC, JPA, and Spring data JPA.
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Express Framework Fundamentals - Secure Sign-Up with Auth0 and Node.js - Clear Items from App with EJS and Express Routing
This video demonstrates how to clear items from an app with EJS and Express routing. This clip is from the chapter "Templating Engines and Routing to Build Out a Todo Exercise Application App" of the series "Express Framework...
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Express Framework Fundamentals - Secure Sign-Up with Auth0 and Node.js - SetAttributes and Keycode Additions for Exer List
This video talks about the SetAttributes and Keycode additions for Exer List. This clip is from the chapter "Templating Engines and Routing to Build Out a Todo Exercise Application App" of the series "Express Framework Fundamentals -...
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Express Framework Fundamentals - Secure Sign-Up with Auth0 and Node.js - Inserting Titles into SQL Database with Express Routing
In this video, you will be inserting titles into SQL database with Express routing. This clip is from the chapter "Templating Engines and Routing to Build Out a Todo Exercise Application App" of the series "Express Framework Fundamentals...
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Chatbots Development with Amazon Lex - Testing Our Chatbot
After completing all the necessary steps in building the chatbot, we will now deploy the chatbot and back to the Lex console. We will then test the chatbot for the intended tasks it is to perform.
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Chatbots Development with Amazon Lex - Interconnection
This video demonstrates the process of connecting Amazon Lambda to our chatbot. We will create the functions required for our chatbot and author it from scratch.
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Chatbots Development with Amazon Lex - Build and Test
After creating the intents, we will want to create a few messages as responses to be displayed by the chatbot. You will learn to add acceptance and decline responses to the chatbot.
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Chatbots Development with Amazon Lex - Lambda Introduction
After building and testing the chatbot and creating the visual structure, you will learn to create the backend on Amazon Lambda and connect it with our chatbot for seamless working.
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Deep Learning - Crash Course 2023 - Introducing TensorFlow
In this video, we will be introduced to TensorFlow. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course 2023".In this section, we will dive into deep learning with TensorFlow 2.x.
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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 - Class Sigmoid
In this video, we will dive into the implementation of a class for the Sigmoid activation function. You will also get an assignment to further solidify your understanding of Sigmoid. This clip is from the chapter "Sigmoid Neuron...
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Deep Learning - Crash Course 2023 - Loss Function and Parameter Update
In this video, you will learn about the loss function and parameter update. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
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Deep Learning - Crash Course 2023 - MP Neuron Introduction
In this video, you will learn about the MP Neuron model, also called McCulloch Pitts model. 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...
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Deep Learning - Crash Course 2023 - Update Rule in Programs
In this video, you will learn about the parameter Update Rule that we will be using in our programs. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about...
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Deep Learning - Crash Course 2023 - MP Neuron Class
In this video, we will walk through the process of creating our own MP Neuron class in Python from scratch. By the end of this section, you will have a solid understanding of how to implement this fundamental concept in deep learning....
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Deep Learning - Crash Course 2023 - Pandas Data Frame
In this video, you will learn about Pandas' two-dimensional data structure called dataframes. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we...
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Deep Learning - Crash Course 2023 - Python Control statements - While and For
In this video, we will look at the different loops in Python called While and For. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...
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Deep Learning - Crash Course 2023 - Control Statements Python if…else
In this video, we will explain the control statements in Python like if…else statements. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...
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Supercharge Scala Future | FP-Tower - Evaluation
This video demonstrates how code is executed in Scala and how to delay an execution to an appropriate time. You will start by reviewing the techniques to define a code expression in Scala. This clip is from the chapter "Actions with...
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Advanced Chatbots with Deep Learning and Python - Predictions
After checking our model for accuracy, we will make predictions of our results from the model we created. We will visualize the predictions using the test data.
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Advanced Chatbots with Deep Learning and Python - Model Completion
In this video, after training and testing the data, querying the questions, and obtaining responses, we are now at model completion with compiling the questions and responses to check for accuracy.
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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 - Encoding
We will begin to develop our deep learning model and input placeholders to store the maximum story length, question length, and define the vocabulary size. We will now build our encoder using the sequential model.
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Advanced Chatbots with Deep Learning and Python - Vectorizing Train and Test Data
After creating the vectorization function, we will input the stories, queries, and answers using the vectorize function that we created using the train data.