This came as a surprise. Although it looks like an example with smooth time-stepping, it is not. It is with original, simple time-stepping. I'm not exactly sure what this means. Maybe my smooth time-stepping method is superfluous.
From playlist SmoothLife
Beginner gym workout routine (no experience necessary)
First time setting foot in a gym? Follow this workout plan for the first month and then come back for more! Link to workout 2: https://youtu.be/h9TIxLCudOE
From playlist Gym
Samsung Gear 360 Workout video - Spider Walk
This is a 360 video! drag with your mouse, move your phone, or press W, S, A, D on your keyboard to rotate the screen. Part two of my Sunday morning workout at the park - spider walk, which just involves crawling on the ground and doing a pushup in between every step. Location: Colleges
From playlist General Fitness
Lesson 18: Deep Learning Foundations to Stable Diffusion
(All lesson resources are available at http://course.fast.ai.) In this lesson, we dive into various stochastic gradient descent (SGD) accelerated approaches, such as momentum, RMSProp, and Adam. We start by experimenting with these techniques in Microsoft Excel, creating a simple linear re
From playlist Practical Deep Learning 2022 Part 2
What is the displacement of a particle from a position graph
Keywords 👉 Learn how to solve particle motion problems. Particle motion problems are usually modeled using functions. Now, when the function modeling the position of the particle is given with respect to the time, we find the speed function of the particle by differentiating the function
From playlist Particle Motion Problems
I explain how to create Flash Walk Cycles using the bone tool. I also cover run, stumble, double bounce and jump cycles. All the files are here http://bit.ly/9TcAwj
From playlist Flash Tutorial
OWASP AppSec USA 2010: Threat Modeling Best Practices 3/4
Speaker: Robert Zigweid, IOActive More information can be found on the OWASP website: http://bit.ly/hY4bqh Source: http://bit.ly/owasp_appsec_us_2010
From playlist OWASP AppSec USA 2010
3 Minute Push-up Workout - The Push-up Challenge
My favorite quick workout for improving my push-ups. Stopwatch: http://fitlb.com/stopwatch Connect with me: 🐦 Twitter - https://twitter.com/elliotwaite 📷 Instagram - https://www.instagram.com/elliotwaite 👱 Facebook - https://www.facebook.com/elliotwaite
From playlist Follow Along Workouts
Kaggle Reading Group: Generating Long Sequences with Sparse Transformers (Part 3)| Kaggle
Join Kaggle Data Scientist Rachael as she reads through an NLP paper! Today's paper is "Generating Long Sequences with Sparse Transformers" (Child et al, unpublished). You can find a copy here: https://arxiv.org/pdf/1904.10509.pdf SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_... About
From playlist Kaggle Reading Group | Kaggle
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization (Paper Explained)
#machinelearning #ai #google The high-level architecture of CNNs has not really changed over the years. We tend to build high-resolution low-dimensional layers first, followed by ever more coarse, but deep layers. This paper challenges this decades-old heuristic and uses neural architectu
From playlist Papers Explained
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 7 - Interpretability of Neural Network
Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University http://onlinehub.stanford.edu/ Andrew Ng Adjunct Professor, Computer Science Kian Katanforoosh Lecturer, Computer Science To follow along with the course schedule and syllabus, visit: http://cs230.stanfo
From playlist Stanford CS230: Deep Learning | Autumn 2018
If I'm running even 1 minute late for my dog's morning walk...
I take my dog for a long walk every morning. Anytime I'm running late, this is how he acts. Also, he'd already been let out once to do his business. This is before his longer walk to tire him out before I leave for work. He's not about to explode... just excited.
From playlist My Dog
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 11 – Convolutional Networks for NLP
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30eokXM Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Lear
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Pix2Pix implementation from scratch
❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI 📘 MLOps S
From playlist PyTorch Tutorials
Lesson 12 (2019) - Advanced training techniques; ULMFiT from scratch
We implement some really important training techniques today, all using callbacks: - MixUp, a data augmentation technique that dramatically improves results, particularly when you have less data, or can train for a longer time - Label smoothing, which works particularly well with MixUp, a
From playlist Deep Learning from the Foundations
CS231n Lecture 13 - Segmentation, soft attention, spatial transformers
Segmentation Soft attention models Spatial transformer networks
From playlist CS231N - Convolutional Neural Networks
Describes what acceleration is in physics, how to calculate acceleration and how to determine if an object is speeding up, slowing down or moving at a constant velocity based on the direction of it velocity and acceleration vectors You can see a listing of all my videos at my website, http
From playlist Motion Graphs; Position and Velocity vs. Time
GRCon21 - GNU Radio at the Allen Telescope Array
Presented by Michael Piscopo at GNU Radio Conference 2021 Through a community partnership between GNU Radio and the ATA, a project to create a fully functional radio astronomy X-Engine based on GNU Radio and high-end GPU's has been in progress to support science observations at the telesc
From playlist GRCon 2021