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Deep Learning - Computer Vision for Beginners Using PyTorch - Data Visualization
In this video, you will learn how to visualize your data to understand it better. This clip is from the chapter "CNN in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you will learn...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Data Loading - CIFAR10
In this video, you will learn how to load our CIFAR10 dataset in PyTorch. This clip is from the chapter "CNN in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you will learn how to...
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Pizza Order Attribute
This video explains pizza order attribute file, which will be shared between the app and the widget. This clip is from the chapter "iOS 16.1 Live Activity Lifecycle Events" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 2)
In this video, we will dive into action and look at codes for transfer learning without data augmentation. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 1)
In this video, we will dive into action and look at codes for transfer learning with data augmentation. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Large Datasets and Data Generators
In this video, you will learn how to work with large image datasets in TensorFlow and Keras with data generators. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Theory
In this video, we will get introduced to the concept of transfer learning. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Data Augmentation
In this video, you will learn about data augmentation. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we will cover a...
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Deep Learning - Convolutional Neural Networks with TensorFlow - CNN Code Preparation
In this video, we will look at the code preparation we will use for CNN and understand it. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...
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Deep Learning - Convolutional Neural Networks with TensorFlow - What Is Convolution? (Part 3)
In this video, you will learn how to view convolution as matrix multiplication. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Deep Learning - Convolutional Neural Networks with TensorFlow - What Is Convolution? (Part 1)
In this video, we will get introduced to the concept of convolution. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning and Deep Learning: Future Topics
In this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites -...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More Matplotlib
In this video, we will understand from where we can learn more about Matplotlib. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Plotting Images
In this video, you will learn how to plot images. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matplotlib Section Introduction
In this video, we will have a quick overview of Matplotlib that is used to visualize data and see what we are going to cover in this section. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy,...
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ChatGPT 101 - Supercharge Your Work and Life with ChatGPT - AI Art and Graphics Generation (Using ChatGPT w/ MidJourney)
In this video, you will learn how to use ChatGPT to create AI art and graphics, a unique and exciting way to leverage the power of AI to enhance your creativity and productivity and create stunning AI art and designs/illustrations. This...
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Automating Image Creation with HashiCorp Packer for DevOps - Hands-On Lab - Building Images in Multiple Regions
In this hands-on demonstration lab, we will build upon some of the concepts we have been learning to extend our Packer-built images into multiple regions within the same cloud environment. This clip is from the chapter "Builders" of the...
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Automating Image Creation with HashiCorp Packer for DevOps - Demo - Building Google Compute Machine Images with Packer
This demonstration lab will demonstrate how to utilize Packer to build machine images in the Google cloud platform. We will use the Google Compute Engine to build the images for this demo. This clip is from the chapter "Builders" of the...
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Automating Image Creation with HashiCorp Packer for DevOps - Introduction to Variables
In this video, we will look at an overview of variables in Packer, which can be used to define defaults and values during a build. They allow you to remove hard-coded values and pass parameters to the configuration. This clip is from the...
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Automating Image Creation with HashiCorp Packer for DevOps - Hello, Packer!
This overviews the entire HashiCorp suite of tools and describes products such as Terraform, Vault, Consul, Nomad, Waypoint, Boundary, Packer, and Vagrant. It then provides a detailed introduction to the features of Packer. This clip is...
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JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects - Swipe Library - I / 308
This video explains the swipe library, which was designed by other developers. This clip is from the chapter "Project: notNotion" of the series "JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects".This section explains the...
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JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects - Template Structure (Optional) / 302
This video explains the HTML template for the project. This clip is from the chapter "Project: notNotion" of the series "JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects".This section explains the project on notNotion.
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JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects - Folder Structure / 155
This video explains how to structure files in JavaScript. This clip is from the chapter "Babel" of the series "JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects".This section explains Babel, which is a JavaScript compiler.
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JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects - Backup Data / 247
This video explains how to back up data for future use. This clip is from the chapter "Project: News Portal" of the series "JavaScript Masterclass - Zero to Job-Ready with Hands-On Projects".This section explains how to create a custom...