This is an introductory video on the concepts to be learned in this module, including chatbot creation steps, AWS Lambda, Twilio, and project creation.

In this video, you will learn about training the neural network by selecting the right hyperparameters, choosing the right optimization algorithm, and evaluating the performance of the model.
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This clip is from the chapter...

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.
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In this video, we will confirm the effectiveness of the Universal Approximation Theorem by implementing it on a practical problem.
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This clip is from the chapter "Universal Approximation Theorem" of the series "Deep Learning -...

In this video, we will understand when and how to apply standard Scaler with data standardization.
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This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this...

In this video, you will learn how to use Train_Test_Split on our dataset with Scikit-learn.
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This clip is from the chapter "MP Neuron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn...

In this video, you will learn about bias in neural networks.
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This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in...

After creating the vectorization function, we will input the stories, queries, and answers using the vectorize function that we created using the train data.

In this lecture, you will learn about a generative and retrieval chatbot and compare the differences between the two chatbots.

Here, we will look at data partitioning, represented as a URL.

We will now perform data visualization; we will check the accuracy of our recommender model with the recommendations.

This is the next step of training our model, which entails the compute loss model.

After mapping the rating to the dataset, we will train-test split the dataset to our recommender system with shuffling and prediction.

In this video, you will learn about the inference mechanisms for generic recommender systems, including training the system to capture information to make recommendations.

As we are aware, recommender systems are migrating from machine learning to deep learning, the reason being to capture non-linear and non-trivial relationships.

This video will explore the features and benefits of using AWS Control Tower to manage multiple AWS accounts.

AWS Cost Explorer gives granular detail about your spending in AWS, so there's no more surprises when your month-end bill comes in.

This is the first of the two-part video on exploiting race conditions for case 1. Here, you would be looking at how hackers use multithreading conditions for stealing money from a bank.
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In this video, we will explore some ways to address bias in creative work that involves AI systems. We will discuss the importance of being aware of bias and provide some tips on how to mitigate bias in your AI-generated content.
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In this video, we will examine the limitation that generative AI output is not always accurate or reliable.
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This clip is from the chapter "When (And When Not) to Use AI" of the series "ChatGPT and DALL-E: Sell Your Creative...

This is the first of the two-part video that demonstrates the actual attack where you would take control of the account with the help of Clickjacking.
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This clip is from the chapter "Full-Stack Attacks on Modern Web...

This video explains bypassing CSP through polyglot file.
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This clip is from the chapter "Bypassing Content Security Policy in Modern Web Applications" of the series "Web Hacking Expert Full-Stack Exploitation Mastery".This...

This is the second of the two-part video that demonstrates how to be prevented from the account takeover through Clickjacking.
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This clip is from the chapter "Full-Stack Attacks on Modern Web Applications" of the series "Web...

This is the first of the two-part video on exploiting race conditions for case 1. Here, you would be looking at how the hackers use multithreading conditions for stealing money from a bank.
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This clip is from the chapter...