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, we will understand VGG, ResNet, Inception, and MobileNet.
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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 understand how to do text preprocessing using Colab notebook.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural...

In this video, we will look at the suggestion box where we can add feedback for this course.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks...

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...

In this video, we will work on image classification with the CIFAR-10 dataset.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...

This brief introductory video will cover the course contents and the concepts you will learn in this course.
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This clip is from the chapter "Introduction" of the series "Recommender Systems: An Applied Approach Using Deep...

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...

In this video, we will look at a general introduction to deep learning and what is covered in this section under deep learning.
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This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series...

In this video, we will explore the course's prerequisites and discuss the course content and the concepts that will be covered in this course.
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This clip is from the chapter "Introduction" of the series "Social Media...

This video introduces the author/instructor and his experience in this online-course content discipline and discusses the AI Sciences group of instructors.
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This clip is from the chapter "Introduction" of the series "Social...

This video will look at a library package created by the Python community, the python-youtube 0.8.3. You will learn to install the package and import the library to perform the tasks.
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This clip is from the chapter "YouTube...

This video provides insight into the tasks we can schedule using a simple scheduler or a scheduling system, such as emails, messages, tasks, or routines.
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This clip is from the chapter "Scheduling" of the series "Social Media...

Here, you will learn about additional features we can harness using the pywhatkit function, such as collecting information about WhatsApp scheduling, image posting, and such tasks.
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This clip is from the chapter "WhatsApp...

This video provides the conclusion for the course. We hope that you will be able to apply the learnings from this course into your professional life.
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This clip is from the chapter "Project 2: Movie Recommendation System Using...

This video explains how to make movie recommendations.<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 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 demonstrates creating a collaborative filter.<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 the active users and popular movies available.
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This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine...

This video helps you explain the logarithm of count.<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 the count function.<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 helps you with the plot rating from the dataset.<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 involves a deep understanding of the dataset to be explored for this module.
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This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems...

This video provides an introduction to the project.<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