This video explains padding in convolutional neural networks.
<
br/>
This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks...

The Convolution layer (CONV) uses filters that perform convolution operations as it is scanning the input with respect to its dimensions. Its hyperparameters include the filter size and stride. The resulting output is called a feature...

This video explains what we mean by Tensor and Matrix.
<
br/>
This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where...

This video explains image data in CNN (Convolutional Neural Network).
<
br/>
This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural...

In this video, we will introduce a middleware component for verifying API authorization using the token. We will cover best practices for implementing token-based authentication and authorization in our application, ensuring the...

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.
<
br/>
This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech...

In this video, we will explore a few more Spring Boot features.

In this video, we will evaluate the performance of the trained neural network using various performance metrics and techniques.
<
br/>
This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning -...

In this video, we will briefly cover models in deep learning.
<
br/>
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...

In this lesson, you will learn how to implement the k-nearest neighbor algorithm in machine learning.

In this video, you will learn to make the recommendation engine using the tf-idf matrix.

In this video, you will learn about the evaluation technique and focus on the offline evaluation technique in this lecture.

In this video, we will understand what a user rating matrix is and how we can build a user rating matrix.

In this lesson, you will learn about the item-context matrix, a list of items and attributes in the recommender system.

In this video, you will learn about the taxonomy of recommender systems and use the recommender systems to get appropriate results.

In this lesson, we will look at making the candidate tower and then execute a retrieval system.

In this lesson, we will explore how to use the similarity index.

In this video, we will understand how to calculate and use the tf-idf vectorizers with sklearn.

In this video, you will learn about categorical cross entropy, which is used in multiclass classification.
<
br/>
This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks...

In this video, we will understand the text as sequence data.
<
br/>
This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, you...

In this video, you will learn how to view convolution as matrix multiplication.
<
br/>
This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...

This video talks about the similarity index in detail.
<
br/>
This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section...

This video demonstrates the implementation of tf-idf (Term Frequency-Inverse Document Frequency).
<
br/>
This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender...

This video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix.
<
br/>
This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...