Filters being used: - High and low frequency denoising - Spline-based image resizing to FullHD - Image stabilization http://kostackstudio.de
From playlist Video Experiments
DIY soft Box Photography Lighting Fresnel Lens Soft power
Solar LED lights and a Fresnel lens make a DIY soft box for photography. Make a mobile studio soft light box for professional photography from a diffused HD TV lens using energy efficient LED lighting. This video also highlights awesome MEZE headphones. Portrait lighting using Softbox. M
From playlist Green Power Science Videos
Taper Tooling Tightening Fixture
Short project / long overdue: taper tooling tightening fixture -- say that 5 times fast. -------------------------------- Music: Pink Lemonade - Silent Partner
From playlist All Uploads
Soft Cell -Tainted Love official music video
i am not trying to make any mony off of this video pleas copy right leave my video on.
From playlist 80's
Softbox lighting setup for green screen light box lightbox
So a while ago I bought these softbox lights because I found that my green screen wasn't lit properly for the greenscreen effect to look good. These lightboxes truly helped! Here is how I set it up.
From playlist Video editing
http://www.greenpowerscience.com/ DEMONSTRATION MODEL OF A FRESNEL LENS PERFECT FOR FAST DEMOS
From playlist FRESNEL LENS
Here we show a quick way to set up a face in desmos using domain and range restrictions along with sliders. @shaunteaches
From playlist desmos
Modern NLP: Second Surge of NLP - Attention-Session 3, part 1
RNN with Attention: architecture RNN with Attention: equations Intra-Attention Intra-Attention equations Attention types: hard vs soft, global vs local
From playlist Modern Natural Language Processing (hands on)
Stanford Seminar - A Superscalar Out-of-Order x86 Soft Processor for FPGA
Henry Wong University of Toronto, Intel June 5, 2019 Although FPGAs continue to grow in capacity, FPGA-based soft processors have grown little because of the difficulty of achieving higher performance in exchange for area. Superscalar out-of-order processor microarchitectures have been us
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Sometimes a closeup works best, but other times you may want a wider-angle shot. You can experiment by moving closer and farther away from your subject, or by using your camera's zoom. We hope you enjoy! To learn more, check out our written lesson here: https://edu.gcfglobal.org/en/digita
From playlist Digital Photography
Lec 12 | MIT 6.451 Principles of Digital Communication II
Reed-Solomon Codes View the complete course: http://ocw.mit.edu/6-451S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.451 Principles of Digital Communication II
[Original attention] Neural Machine Translation by Jointly Learning to Align and Translate | AISC
Toronto Deep Learning Series, 18 October 2018 For slides and more information, visit https://tdls.a-i.science/events/2018-10-18/ Paper Review: https://arxiv.org/abs/1409.0473 Speaker: Xiyang Chen (Rangle.io) Host: Dessa Date: Oct 18th, 2018 Neural Machine Translation by Jointly Learni
From playlist Natural Language Processing
In this video, we discuss Attention in neural networks. We go through Soft and hard attention, discuss the architecture with examples. SUBSCRIBE to the channel for more awesome content! My video on Generative Adversarial Networks: https://www.youtube.com/watch?v=O8LAi6ksC80 My video on C
From playlist Deep Learning Research Papers
Transformers - Part 1 - Self-attention: an introduction
In this video, we briefly introduce transformers and provide an introduction to the intuition behind self-attention. The video is part of a series of videos on the transformer architecture, https://arxiv.org/abs/1706.03762. You can find the complete series and a longer motivation here: h
From playlist A series of videos on the transformer
MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012 View the complete course: http://ocw.mit.edu/6-02F12 Instructor: George Verghese This lecture starts with a review of encoding and decoding. The Viterbi algorithm, which includes a branch netric and a path metric,
From playlist MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012
Transformers - Part 7 - Decoder (2): masked self-attention
This is the second video on the decoder layer of the transformer. Here we describe the masked self-attention layer in detail. The video is part of a series of videos on the transformer architecture, https://arxiv.org/abs/1706.03762. You can find the complete series and a longer motivation
From playlist A series of videos on the transformer
ML4Audio - pyctcdecode: A simple and fast speech-to-text prediction decoding algorithm
This week the Kensho team will join us to talk about pyctcdecode pyctcdecode is a fast and feature-rich CTC beam search decoder for speech recognition. Ask your questions in https://discuss.huggingface.co/t/ml-for-audio-study-group-pyctcdecode-jan-18/13561 Speakers - Raymond Grossman: R
From playlist Machine Learning for Audio
From playlist the absolute best of stereolab