By now you are probably wondering what that alphabet soup of letters and numbers alongside a CPU name means. Understanding the nomenclature of CPU models will ensure that you fully understand how they work. In this video, we are going...

In this video, we will dive into action and look at codes for transfer learning with data augmentation.
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This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural...

In this video, we will get introduced to the concept of transfer learning.
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This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In...

In this video, we will move into action and work on text classification with CNNs.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with...

In this video, you will learn how to improve CIFAR-10 results using data augmentation and batch normalization.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional...

In this video, you will learn about data augmentation.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we...

In this video, we will start with implementing CNN with the fashion MNIST dataset.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...

In this video, we will look at the code preparation we will use for CNN and understand it.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...

In this video, we will discuss the two approaches used for transfer learning, which we will use in the next videos.
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This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning -...

In this video, you will learn about batch normalization.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we...

This video outlines the project and will demonstrate how to install the packages required for the project, data preparation, using TensorFlow, evaluation, and recommendation.
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This clip is from the chapter "Project Amazon...

This video explains the implementation of KNN.<br<br/>/>

This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null

This video explains how to implement KNN.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine learning...

This video explains data partitioning.<br<br/>/>

This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.

This video demonstrates how to import step by step the four main libraries required for our project, including TensorFlow NumPy, Keras, and Pickle, and you will learn about importing Sequential and Model.
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This clip is from...

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...

This video explains security models definition and trusted computing.
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This clip is from the chapter "Architecture and Engineering" of the series "CISSP Crash Course".This section covers domain 3, which focuses on architecture...

Here, we will explore the three main building blocks of a relational database: entity, attribute, and relationship.
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This clip is from the chapter "Databases - Terminology" of the series "Master SQL for Data Analysis".This...

In this lesson, you will learn to create a recommendation and use a brute-force algorithm to generate the recommendation.
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender...

After entirely developing our model, you will learn to fit and evaluate the model for functionality.
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...

Here, we will look at the next step of training our model: the compute loss function.
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using...

In this video, you will learn how to create a candidate tower and develop a retrieval system.
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...

In this lecture, you will learn to develop our model and create a query tower to perform retrieval tasks.
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An...

In this lesson, you will learn about the strengths and weaknesses of deep learning recommender system models.
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This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender...