AWESOME SUPERCONDUCTOR LEVITATION!!!
A quantum levitator it's a circular track of magnets above which a razor-thin disc magically levitates, seeming to defy the laws of physics. The key to the levitator is the disc, which is made of superconducting material sandwiched between layers of gold and sapphire crystal. A piece of fo
From playlist THERMODYNAMICS
From playlist the absolute best of stereolab
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From playlist Science Unplugged: General Relativity
AMAZING Simulation of the Evolution of the Universe
Watch the full MinutePhysics video here: http://dft.ba/-3v1L Also, explore a map of the big bang! http://www.bigbangregistry.com MinutePhysics is on Google+ - http://bit.ly/qzEwc6 And facebook - http://facebook.com/minutephysics And twitter - @minutephysics Minute Physics provides an en
From playlist MinutePhysics (chronological order)
Amazing New Talent!! Support - https://soundcloud.com/quantum-6/speed-of-darkness
From playlist new retro synth wave pop OKÉ!
CINNAMON CHASERS - The World Is Yours
Download THE WORLD IS YOURS tune here: http://bit.ly/kND2ZB http://www.facebook.com/cinnamonchasers
From playlist "Thank me later" Music [Electronic]
Understanding the basic reproduction number via branching process by Sujit Kumar Nath
Seminar Understanding the basic reproduction number via branching process Speaker: Sujit Kumar Nath (University of Leeds) Date: Wed, 30 September 2020, 15:00 to 16:30 Venue: Online seminar Abstract Branching process is a random process having many applications in physics, biology a
From playlist Seminar Series
Write Less Code, Generate More
Want to write less code and let the machine do the work? In this talk, Paul will give an introduction to code generation in Go, show you how to write a simple code generator, and share some tips on how to integrate code generation into your development workflow. EVENT: GopherCon UK 2019
From playlist Golang
247 - Conditional GANs and their applications
Conditional Generative Adversarial Network cGAN A GAN model generates a random image from the domain. The relationship between points in the latent space and the generated images is hard to map. A GAN can be trained so that both the generator and the discriminator models are conditioned
From playlist Generative Adversarial Networks
Generators In Python | Python Generators Explained | Python Tutorial For Beginners | Simplilearn
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From playlist Python For Beginners 🔥[2022 Updated]
What Are GANs? | Generative Adversarial Networks Explained | Deep Learning With Python | Edureka
🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka video on 'What Are GANs' will help you understand the concept of generative adversarial networks including how it works and the t
From playlist Deep Learning With TensorFlow Videos
What Are GANs? | Generative Adversarial Networks Tutorial | Deep Learning Tutorial | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=WhatareGANs-MZmNxvLDdV0&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https://www.sim
From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn
Overview of Generative Adversarial Networks | AISC
For slides and more information on the paper, visit https://aisc.ai.science/events/2019-07-31 Register for the workshop here: https://www.eventbrite.ca/e/premium-hands-on-workshop-generative-adversarial-networks-and-beyond-tickets-64501555890?discount=gan_lunch Discussion lead: Andrew Mart
From playlist Generative Models
Ruby Conference 2007 Use Ruby to Generate More Ruby - RubiGen by Dr. Nic Williams
Help us caption & translate this video! http://amara.org/v/FGcz/
From playlist Ruby Conference 2007
Plug and Play Language Models: A Simple Approach to Controlled Text Generation | AISC
For slides and more information on the paper, visit https://aisc.ai.science/events/2020-01-13 Discussion lead: Raheleh Makki Discussion facilitator(s): Gordon Gibson, Royal Sequeira + Salman Mohammed Motivation: Large transformer-based language models (LMs) trained on huge text corpora
From playlist Natural Language Processing
Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur
Workshop on Theory of Deep Learning: Where next? Topic: Toward a Causal Analysis of Generalization in Deep Learning Speaker: Behnam Neyshabur Affiliation:Google Date: October 18, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
