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Rust Programming 2023 - A Comprehensive Course for Beginners - Ownership in Rust
Ownership is a key concept in Rust's memory management system, and it's essential for writing efficient and safe programs. In this video, you will learn about ownership in Rust and how it helps prevent common memory-related errors. This...
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Rust Programming 2023 - A Comprehensive Course for Beginners - Exercise - Iterate Through a Vector in Rust
This is an exercise video on iterating through a vector in Rust. This clip is from the chapter "Intermediate to Advanced Videos in Rust" of the series "Rust Programming 2023 - A Comprehensive Course for Beginners".null
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Rust Programming 2023 - A Comprehensive Course for Beginners - What Is Iter in Rust and Iterators
This video helps you with the Iter in Rust and iterators. This clip is from the chapter "Intermediate to Advanced Videos in Rust" of the series "Rust Programming 2023 - A Comprehensive Course for Beginners".null
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Rust Programming 2023 - A Comprehensive Course for Beginners - Borrowing in Rust - The “&†Symbol in Rust
In Rust, borrowing is an essential concept for managing memory and preventing common memory-related errors. The ‘&' symbol is used to create references to variables and pass them to functions, which allows efficient memory management...
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Type-Safe Interfaces with Modern C++ - Other Examples of Owning/View Classes
Find a pattern similar to `std::string`/`std::string_view` in other classes, and understand the importance of having both owning/non-owning wrappers.
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Fundamentals of Neural Networks - Forward Propagation in RNN
The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...
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Fundamentals of Neural Networks - Lab 1 - Introduction to Convolutional 1-Dimensional
This video demonstrates convolutional operations in 1-dimension. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
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Learn Java from Scratch - A Beginner's Guide - Step 06 - List Interface - Methods to Add, Remove, and Change Elements and Lists
In this video, you will learn about the list interface and methods to add, remove, and change elements and lists.
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Learn Java from Scratch - A Beginner's Guide - Step 05 - List Interface Implementations - ArrayList Versus Vector
In this video, you will learn about list interface implementations—ArrayList versus Vector.
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Learn Java from Scratch - A Beginner's Guide - Step 04 - List Interface Implementations - ArrayList Versus LinkedList
In this video, you will learn about list interface implementations—ArrayList versus LinkedList.
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Learn Java from Scratch - A Beginner's Guide - Step 03 - List Interface - Immutability and Introduction of Implementations – Array
In this video, we will explore the concept of immutability in the context of the List interface and discuss the array implementation as an introduction to different list implementations available in Java.
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Learn Java from Scratch - A Beginner's Guide - Step 13 - List and ArrayList - a Summary
In this video, you will learn about list and ArrayList—a summary.
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Introduction to FinTech Using R - First Course in Asset Pricing
In this video, we will look at how to create an ASP.NET Core API project with Visual Studio 2022 using an ASP.NET Core web API template. This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech Using R".This...
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Deep Learning - Crash Course 2023 - ReLU, SoftMax, and Cross Entropy
In this video, you will learn about ReLU, SoftMax, and Cross Entropy. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement deep learning...
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Deep Learning - Crash Course 2023 - Going Deep into Neural Networks
In this video, we will take a deep dive into neural networks and explore how to find the output for a deep neural network. This clip is from the chapter "Universal Approximation Theorem" of the series "Deep Learning - Crash Course...
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Deep Learning - Crash Course 2023 - Why Update Rule Works
In this video, we will understand how update rule works. 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 - Perceptron Model and Its Representation
In this video, you will learn more about the Perceptron model and understand its representation. 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 - 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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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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SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI - Get the Emoji SVG, Separate Parts, and Import to Xcode
In this lesson, you will learn to create an emoji SVG by downloading an emoji of choice from Figma and then customizing or modifying the same using vectors to our preference and saving it on Xcode. This clip is from the chapter "Emoji...
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Recommender Systems Complete Course Beginner to Advanced - Deep Learning Foundation for Recommender Systems: VAE Collaborative Filtering
Let's understand the variational autoencoder for collaborative filtering using a representation obtained in the hidden layers.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: tf-idf Implementation
In this video, we will understand how to calculate and use the tf-idf vectorizers with sklearn.
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Behavioral Design Patterns in C++ - Function Strategy - II
In this video, we will continue to explore the function strategy design pattern, building on the concepts covered in the previous video. We will dive deeper into the implementation of this pattern. This clip is from the chapter...
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Behavioral Design Patterns in C++ - Dynamic Array - I
In this video, we will introduce a dynamic array that may be used in both single-threaded and multi-threaded applications. This clip is from the chapter "Strategy" of the series "Behavioral Design Patterns in C++".In this section, you...