Deep learning software applications
U-Net is a convolutional neural network that was developed for biomedical image segmentation at the Computer Science Department of the University of Freiburg. The network is based on the fully convolutional network and its architecture was modified and extended to work with fewer training images and to yield more precise segmentations. Segmentation of a 512 × 512 image takes less than a second on a modern GPU. (Wikipedia).
My Linux Ubuntu Setup for Software Development
A look into my Ubuntu software development environment VM I use at work as a software engineer. The OS is Ubuntu Linux running on a VirtualBox virtual machine (VM), with tools like VS Code and Eclipse for my development work. ---------------------------------------------------------- I d
From playlist Software Engineering
Additionally you can find my video courses on Pluralsight: http://pluralsight.com/training/Authors/Details/andrew-mallett and take time to see my own site http://www.theurbanpenguin.com As Ubuntu is the first release of Ubuntu to use systemd as the system and start-up manager we look at ru
From playlist Learning Ubuntu Server
UBUNTU: Basic time restrictions with Squid Web Proxy
In this tutorial we install squid on Ubuntu and see its basic configuration, Once we have that running we c an them implement time restrictions to control access to the internet. The web proxy server will be configured to allow access to the internet during permitted times only.
From playlist Linux
5 Ways To Make Ubuntu More Awesome!
Today I walk through a few ways you can make Ubuntu even better. 👇 PULL IT DOWN FOR THE GOOD STUFF 👇 Patreon - https://patreon.com/thelinuxcast Liberapay - https://liberapay.com/thelinuxcast/ Youtube - https://www.youtube.com/channel/UCylGUf9BvQooEFjgdNudoQg/join ===== Follow us 🐧🐧 =====
From playlist Linux Top 5
Nagios Creating a host definition
More videos like this online at http://www.theurbanpenguin.com We look in this demonstration how to define new hosts in nagios core running in Ubuntu 12.04.
From playlist Learning Ubuntu Server
More videos like this online at http://www.theurbanpenguin.com In this video we look at using apt-mirror to create a local software repository on are Ubuntu 12.04 LTS server. If we just use the 32bit main archive wer can get away with needing 10GB disk space but if much more can be needed
From playlist Learning Ubuntu Server
Ubuntu Is Boring...But That's Okay
Today I talk about Ubuntu and its lack of innovation. Ubuntu is boring, but for most people, that's exactly what they want. 👇 PULL IT DOWN FOR THE GOOD STUFF 👇 Patreon - https://patreon.com/thelinuxcast Liberapay - https://liberapay.com/thelinuxcast/ Youtube - https://www.youtube.com/cha
From playlist Rambles
In this video, you’ll learn about HTML and how it is used to code webpages. We hope you enjoy! To learn more, check out our Basic HTML tutorial here: https://edu.gcfglobal.org/en/basic-html/ #whatishtml #htmlcode #learnhtml
From playlist HTML
Introduction to MongoDB - O'Reilly Webcast
MongoDB -- from "humongous" -- is an open source, non-relational, document-oriented database. The goal of the MongoDB project is to bridge the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems (which provide rich queries and deep functionality)
From playlist O'Reilly Webcasts 3
Geometric Approach to Invertibility of Random Matrices (Lecture 2) by Mark Rudelson
PROGRAM: TOPICS IN HIGH DIMENSIONAL PROBABILITY ORGANIZERS: Anirban Basak (ICTS-TIFR, India) and Riddhipratim Basu (ICTS-TIFR, India) DATE & TIME: 02 January 2023 to 13 January 2023 VENUE: Ramanujan Lecture Hall This program will focus on several interconnected themes in modern probab
From playlist TOPICS IN HIGH DIMENSIONAL PROBABILITY
Deep Learning Lecture 7.4 - VAMPnet
Learning Slow Manifolds with Markovian methods - variational approach for Markov processes (VAMP) - VAMPnet
From playlist Deep Learning Lecture
Kaggle Reading Group: XLNet (Part 3) | Kaggle
This week we're continuing with XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al, unpublished). You can read the paper here: https://arxiv.org/abs/1906.08237 SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_... About Kaggle: Kaggle is the world's large
From playlist Kaggle Reading Group | Kaggle
A-level Statistics and Mechanics 2021 Practice Exam | Edexcel style exam questions
A paper I put together based on past Edexcel exam questions which will still be good revision for you if you are with another exam board. paper - https://bit.ly/39OuQq1 If you would like to submit worked solutions I can link them here. Mistakes: Q1 there should not be "gaps" in the tab
From playlist A-level 2021 Practice Exams
Lectures from Olin College Transport Phenomena course. Introduction to control volumes for conservation of mass and momentum.
From playlist Lectures for Transport Phenomena course
Image segmentation with a U-Net-like architecture - Keras Code Examples
This video will show you how to use a U-Net style ConvNet to map from a 160x160xRGB image of a PET into the same 160x160 dimensional annotation map of each pixel in the image. This involves segmenting the pet from its border and the background. Image segmentation with a U-Net-like archite
From playlist Keras Code Examples
Giray Ökten: Number sequences for simulation - lecture 2
After an overview of some approaches to define random sequences, we will discuss pseudorandom sequences and low-discrepancy sequences. Applications to numerical integration, Koksma-Hlawka inequality, and Niederreiter’s uniform point sets will be discussed. We will then present randomized q
From playlist Probability and Statistics
Lesson 9: Deep Learning Foundations to Stable Diffusion, 2022
(All lesson resources are available at http://course.fast.ai.) This is the first lesson of part 2 of Practical Deep Learning for Coders. It starts with a tutorial on how to use pipelines in the Diffusers library to generate images. Diffusers is (in our opinion!) the best library available
From playlist Practical Deep Learning 2022 Part 2
DDPS | "When and why physics-informed neural networks fail to train" by Paris Perdikaris
Physics-informed neural networks (PINNs) have lately received great attention thanks to their flexibility in tackling a wide range of forward and inverse problems involving partial differential equations. However, despite their noticeable empirical success, little is known about how such c
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Geometric Approach to Invertibility of Random Matrices (Lecture 1) by Mark Rudelson
PROGRAM: TOPICS IN HIGH DIMENSIONAL PROBABILITY ORGANIZERS: Anirban Basak (ICTS-TIFR, India) and Riddhipratim Basu (ICTS-TIFR, India) DATE & TIME: 02 January 2023 to 13 January 2023 VENUE: Ramanujan Lecture Hall This program will focus on several interconnected themes in modern probab
From playlist TOPICS IN HIGH DIMENSIONAL PROBABILITY
Netcat Tutorial - The Swiss Army Knife Of Networking - Reverse Shell
Netcat (often abbreviated to nc) is a computer networking utility for reading from and writing to network connections using TCP or UDP. Netcat is designed to be a dependable back-end that can be used directly or easily driven by other programs and scripts. At the same time, it is a feature
From playlist Ethical Hacking & Penetration Testing - Complete Course