Instructional Video5:25
Curated Video

Deep Learning CNN Convolutional Neural Networks with Python - Extending to Multiple Filters

Higher Ed
This video explains extending to multiple filters. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
Instructional Video5:14
Curated Video

Deep Learning CNN Convolutional Neural Networks with Python - Convolution

Higher Ed
This video demonstrates about convolution. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
Instructional Video3:16
Curated Video

Python for Deep Learning - Build Neural Networks in Python - Convolution Layer

Higher Ed
In this video, you will learn about the Convolution layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
Instructional Video5:53
Curated Video

Salesforce Platform App Builder Certification Training - Filters

Higher Ed
This video explains filters in Lightning reports and dashboards. This clip is from the chapter "Lightning Reports and Dashboards" of the series "Salesforce Platform App Builder Certification Training".This section explains Lightning...
Instructional Video21:22
Curated Video

Minimal API Development with ASP.NET Core - Add HTTP Request Filters (.NET 7)

Higher Ed
This video explains filters and how to add HTTP request filters. This clip is from the chapter "Value-Added Features" of the series "Minimal API Development with ASP.NET Core".This section explains value-added features.
Instructional Video8:56
Packt

Fundamentals of Neural Networks - VGG16

Higher Ed
This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...
Instructional Video8:09
Packt

Fundamentals of Neural Networks - Lab 1 - Introduction to Convolutional 1-Dimensional

Higher Ed
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...
Instructional Video7:24
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: LeNet

Higher Ed
In this video, we will cover LeNet. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Instructional Video8:12
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: InceptionNet

Higher Ed
In this video, we will cover InceptionNet. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Instructional Video5:59
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: Google Net

Higher Ed
In this video, we will cover Google Net. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Instructional Video9:32
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: AlexNet

Higher Ed
In this video, we will cover AlexNet. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Instructional Video2:35
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Image Sharpening

Higher Ed
In this video, we will cover image sharpening. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video5:07
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: General Image Filtering

Higher Ed
In this video, we will cover general image filtering. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video5:25
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Gradients of MaxPooling Layer

Higher Ed
In this video, we will cover gradients of MaxPooling layer. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video1:09
Curated Video

Business Intelligence with Microsoft Power BI - with Material - Introduction - Cards and Filters in Power BI

Higher Ed
This video introduces you to cards and filters in Power BI. This clip is from the chapter "Cards and Filters in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on cards and...
Instructional Video4:10
Curated Video

Business Intelligence with Microsoft Power BI - with Material - Applying Filters on Visuals

Higher Ed
This video demonstrates how to apply filters on visuals. This clip is from the chapter "Cards and Filters in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on cards and...
Instructional Video7:34
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Convolutions - Sharpening and Blurring

Higher Ed
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: Convolutions - Sharpening and Blurring
Instructional Video0:40
Practical Ninjas

Sneak Peek - Building logic gates using NAND gate | Universal Gate

12th - Higher Ed
In case you missed our video on NAND - The Universal Gate which explains how other gates can be build using NAND gate, here is a peek into it.
Instructional Video3:38
Journey to the Microcosmos

BONUS VIDEO The Microcosmos Microscope

Higher Ed
BONUS VIDEO The Microcosmos Microscope
Instructional Video7:38
Curated Video

The Complete Excel Guide: Beginners to Advanced - Filter Data

Higher Ed
The aim of this video is to explore how to filter data. This clip is from the chapter "Excel 2019 Beginners: Sorting and Filtering" of the series "The Complete Excel Guide: Beginners to Advanced".In this section, we'll explore what is...
Instructional Video1:52
Apalapse

Editing Milky Way Photos in 2 Minutes

9th - 12th
In this two minute tutorial, I show you my workflow for editing milky way images. From Lightroom to the Nik Collection, watch as I transform an unedited milky way image into something spectacular. Editing milky way images is not as hard...
Instructional Video9:49
Catalyst University

Functions & Histology of The Proximal Convoluted Tubule [PCT]

Higher Ed
Functions & Histology of The Proximal Convoluted Tubule [PCT]
Instructional Video3:56
Apalapse

Photography Tips - Five Tips for Better Landscape Photography

9th - 12th
In this video I share five landscape photography tips that should bring your photos to a new level.
News Clip4:58
Curated Video

Scientist develop new water filter

Higher Ed
AP Television Stanford, California, recent 1. Close shot bottle of carbon nanotubes 2. Various David Schoen preparing water filter demonstration 3. SOUNDBITE (English) David Schoen, Postdoctoral Researcher in Materials Sciences, Stanford...